diff --git a/.coveragerc b/.coveragerc
index 8c7c88d1..e1a0c8a0 100644
--- a/.coveragerc
+++ b/.coveragerc
@@ -1,6 +1,7 @@
 [run]
 omit =
-  buzz/whisper_cpp.py
+  buzz/whisper_cpp/*
+  buzz/whisper_cpp_vulkan/*
   *_test.py
   demucs/*
 
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index cc1b582b..8a98c0c1 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -70,8 +70,9 @@ jobs:
           poetry add torch==2.2.2 torchaudio==2.2.2
         if: "matrix.os == 'macos-13'"
 
-      - name: Install dependencies
-        run: poetry install
+      - name: Add msbuild to PATH
+        uses: microsoft/setup-msbuild@v2
+        if: runner.os == 'Windows'
 
       - name: Install apt dependencies
         run: |
@@ -82,6 +83,15 @@ jobs:
           sudo apt-get install libyaml-dev libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-shape0 libxcb-cursor0 libportaudio2 gettext libpulse0 libgl1-mesa-dev
         if: "startsWith(matrix.os, 'ubuntu-')"
 
+      - name: Install Vulkan SDK
+        uses: humbletim/install-vulkan-sdk@v1.2
+        with:
+          version: 1.4.309.0
+          cache: true
+
+      - name: Install dependencies
+        run: poetry install
+
       - name: Test
         run: |
           poetry run make test
@@ -132,6 +142,12 @@ jobs:
       - uses: AnimMouse/setup-ffmpeg@v1.2.1
         id: setup-ffmpeg
 
+      - name: Install Vulkan SDK
+        uses: humbletim/install-vulkan-sdk@v1.2
+        with:
+          version: 1.4.309.0
+          cache: true
+
       # Adding windows Nvidia CUDA torch and its dependencies
       # Linux only packages were removed from the list.
       - name: Install CUDA torch for Windows
@@ -153,6 +169,10 @@ jobs:
           poetry add torch==2.2.2 torchaudio==2.2.2 ctranslate2==4.3.1
         if: "matrix.os == 'macos-13'"
 
+      - name: Add msbuild to PATH
+        uses: microsoft/setup-msbuild@v2
+        if: runner.os == 'Windows'
+
       - name: Install dependencies
         run: poetry install
 
@@ -255,19 +275,12 @@ jobs:
         with:
           submodules: recursive
 
-      - name: Copy Windows DLLs
-        run: |
-          if [ "$RUNNER_OS" == "Windows" ]; then
-            cp -r ./dll_backup ./buzz/
-          fi
-        shell: bash
-
       - name: Build wheels
         uses: pypa/cibuildwheel@v2.22.0
         env:
-          CIBW_ARCHS_WINDOWS: "auto"
-          CIBW_ARCHS_MACOS: "universal2"
-          CIBW_ARCHS_LINUX: "auto"
+          CIBW_ARCHS_WINDOWS: "auto64"
+          CIBW_ARCHS_MACOS: "auto64"
+          CIBW_ARCHS_LINUX: "auto64"
 
       - uses: actions/upload-artifact@v4
         with:
diff --git a/.github/workflows/snapcraft.yml b/.github/workflows/snapcraft.yml
index ec9f32a5..d804b346 100644
--- a/.github/workflows/snapcraft.yml
+++ b/.github/workflows/snapcraft.yml
@@ -21,7 +21,7 @@ jobs:
       - name: Maximize build space
         uses: easimon/maximize-build-space@master
         with:
-          root-reserve-mb: 20000
+          root-reserve-mb: 25000
           swap-size-mb: 1024
           remove-dotnet: 'true'
           remove-android: 'true'
diff --git a/.gitignore b/.gitignore
index f05bf96f..c3d2d7f2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -13,13 +13,13 @@ coverage.xml
 venv/
 
 # whisper_cpp
-libwhisper.*
-libwhisper-coreml.*
 whisper_cpp
-whisper_cpp.exe
-whisper.dll
-buzz/whisper_cpp.py
-buzz/whisper_cpp_coreml.py
+*.exe
+*.dll
+*.dylib
+*.so
+buzz/whisper_cpp/*
+buzz/whisper_cpp_vulkan/*
 
 # Internationalization - compiled binaries
 *.mo
diff --git a/Buzz.spec b/Buzz.spec
index 0f53c829..6e53d31b 100644
--- a/Buzz.spec
+++ b/Buzz.spec
@@ -1,4 +1,5 @@
 # -*- mode: python ; coding: utf-8 -*-
+import os
 import os.path
 import platform
 import shutil
@@ -43,26 +44,50 @@ if DEBUG:
 else:
     options = []
 
-binaries = [
-    (
-        "buzz/whisper.dll" if platform.system() == "Windows" else "buzz/libwhisper.*",
-        ".",
-    ),
-    (shutil.which("ffmpeg"), "."),
-    (shutil.which("ffprobe"), "."),
-]
+def find_dependency(name: str) -> str:
+    paths = os.environ["PATH"].split(os.pathsep)
+    candidates = []
+    for path in paths:
+        exe_path = os.path.join(path, name)
+        if os.path.isfile(exe_path):
+            candidates.append(exe_path)
 
-# Include libwhisper-coreml.dylib on Apple Silicon
-if platform.system() == "Darwin" and platform.machine() == "arm64":
-    binaries.append(("buzz/libwhisper-coreml.dylib", "."))
+        # Check for chocolatery shims
+        shim_path = os.path.normpath(os.path.join(path, "..", "lib", "ffmpeg", "tools", "ffmpeg", "bin", name))
+        if os.path.isfile(shim_path):
+            candidates.append(shim_path)
+
+    if not candidates:
+        return None
+
+    # Pick the largest file
+    return max(candidates, key=lambda f: os.path.getsize(f))
+
+if platform.system() == "Windows":
+    binaries = [
+        (find_dependency("ffmpeg.exe"), "."),
+        (find_dependency("ffprobe.exe"), "."),
+    ]
+else:
+    binaries = [
+        (shutil.which("ffmpeg"), "."),
+        (shutil.which("ffprobe"), "."),
+    ]
+
+if platform.system() == "Linux":
+    binaries.append(("buzz/whisper_cpp/*.so", "buzz/whisper_cpp"))
+    binaries.append(("buzz/whisper_cpp_vulkan/*.so", "buzz/whisper_cpp_vulkan"))
+
+if platform.system() == "Darwin":
+    binaries.append(("buzz/whisper_cpp/*.dylib", "buzz/whisper_cpp"))
 
-# Include dll_backup folder and its contents on Windows
 if platform.system() == "Windows":
     datas += [("dll_backup", "dll_backup")]
     datas += collect_data_files("msvc-runtime")
 
     binaries.append(("dll_backup/SDL2.dll", "dll_backup"))
-    binaries.append(("dll_backup/whisper.dll", "dll_backup"))
+    binaries.append(("buzz/whisper_cpp/*.dll", "buzz/whisper_cpp"))
+    binaries.append(("buzz/*.exe", "."))
 
 a = Analysis(
     ["main.py"],
diff --git a/Makefile b/Makefile
index 60728604..12479f81 100644
--- a/Makefile
+++ b/Makefile
@@ -12,35 +12,23 @@ bundle_mac: dist/Buzz.app codesign_all_mac zip_mac notarize_zip staple_app_mac d
 
 bundle_mac_unsigned: dist/Buzz.app zip_mac dmg_mac_unsigned
 
-UNAME_S := $(shell uname -s)
-UNAME_M := $(shell uname -m)
-
-LIBWHISPER :=
-ifeq ($(OS), Windows_NT)
-	LIBWHISPER=whisper.dll
-else
-	ifeq ($(UNAME_S), Darwin)
-		LIBWHISPER=libwhisper.dylib
-	else
-		LIBWHISPER=libwhisper.so
-	endif
-endif
-
 clean:
 ifeq ($(OS), Windows_NT)
-	-del /f buzz\$(LIBWHISPER) 2> nul
-	-del /f buzz\whisper_cpp.py 2> nul
-	-rmdir /s /q whisper.cpp\build 2> nul
-	-rmdir /s /q dist 2> nul
-	-rm -f buzz/$(LIBWHISPER)
-	-rm -f buzz/whisper_cpp.py
-	-rm -rf whisper.cpp/build || true
-	-rm -rf dist/* || true
+	-rmdir /s /q buzz\whisper_cpp
+	-rmdir /s /q buzz\whisper-server.exe
+	-rmdir /s /q whisper.cpp\build
+	-rmdir /s /q dist
+	-Remove-Item -Recurse -Force buzz\whisper_cpp
+	-Remove-Item -Recurse -Force buzz\whisper-server.exe
+	-Remove-Item -Recurse -Force whisper.cpp\build
+	-Remove-Item -Recurse -Force dist\*
+	-rm -rf buzz/whisper_cpp
+	-rm -fr buzz/whisper-server.exe
+	-rm -rf whisper.cpp/build
+	-rm -rf dist/*
 else
-	rm -f buzz/$(LIBWHISPER)
-	rm -f buzz/whisper_cpp.py
-	rm -f buzz/libwhisper-coreml.dylib || true
-	rm -f buzz/whisper_cpp_coreml.py || true
+	rm -rf buzz/whisper_cpp || true
+	rm -fr buzz/whisper_cpp_vulkan || true
 	rm -rf whisper.cpp/build || true
 	rm -rf dist/* || true
 endif
@@ -60,53 +48,74 @@ version:
 	poetry version ${version}
 	echo "VERSION = \"${version}\"" > buzz/__version__.py
 
-CMAKE_FLAGS=
-ifeq ($(UNAME_S),Darwin)
-	AVX1_M := $(shell sysctl machdep.cpu.features)
-	ifeq (,$(findstring AVX1.0,$(AVX1_M)))
-		CMAKE_FLAGS += -DWHISPER_NO_AVX=ON
-	endif
-	ifeq (,$(findstring FMA,$(AVX1_M)))
-		CMAKE_FLAGS += -DWHISPER_NO_FMA=ON
-	endif
-	AVX2_M := $(shell sysctl machdep.cpu.leaf7_features)
-	ifeq (,$(findstring AVX2,$(AVX2_M)))
-		CMAKE_FLAGS += -DWHISPER_NO_AVX2=ON
-	endif
-	CMAKE_FLAGS += -DCMAKE_OSX_ARCHITECTURES="x86_64;arm64"
-else
-	ifeq ($(OS), Windows_NT)
-		CMAKE_FLAGS += -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release
-	endif
-endif
-
-buzz/$(LIBWHISPER):
+buzz/whisper_cpp:
 ifeq ($(OS), Windows_NT)
-	cp dll_backup/whisper.dll buzz || copy dll_backup\whisper.dll buzz\whisper.dll
-	cp dll_backup/SDL2.dll buzz || copy dll_backup\SDL2.dll buzz\SDL2.dll
-else
-	cmake -S whisper.cpp -B whisper.cpp/build/ $(CMAKE_FLAGS)
-	cmake --build whisper.cpp/build --verbose
-	cp whisper.cpp/build/bin/Debug/$(LIBWHISPER) buzz || true
-	cp whisper.cpp/build/$(LIBWHISPER) buzz || true
-endif
-# Build CoreML support on ARM Macs
-ifeq ($(shell uname -m), arm64)
-ifeq ($(shell uname -s), Darwin)
-	rm -rf whisper.cpp/build || true
-	cmake -S whisper.cpp -B whisper.cpp/build/ $(CMAKE_FLAGS) -DWHISPER_COREML=1
-	cmake --build whisper.cpp/build --verbose
-	cp whisper.cpp/build/bin/Debug/$(LIBWHISPER) buzz/libwhisper-coreml.dylib || true
-	cp whisper.cpp/build/$(LIBWHISPER) buzz/libwhisper-coreml.dylib || true
-endif
+	# Build Whisper for CPU
+	# The _DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR is needed to prevent mutex lock issues on Windows
+	# https://github.com/actions/runner-images/issues/10004#issuecomment-2156109231
+	# -DCMAKE_[C|CXX]_COMPILER_WORKS=TRUE is used to prevent issue in building test program that fails on CI
+	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_RPATH='$$ORIGIN' -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DCMAKE_C_FLAGS="-D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR"  -DCMAKE_CXX_FLAGS="-D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR" -DCMAKE_C_COMPILER_WORKS=TRUE -DCMAKE_CXX_COMPILER_WORKS=TRUE
+	cmake --build whisper.cpp/build -j --config Release --verbose
+
+	-mkdir buzz/whisper_cpp
+	cp dll_backup/SDL2.dll buzz/whisper_cpp
+	cp whisper.cpp/build/bin/Release/whisper.dll buzz/whisper_cpp
+	cp whisper.cpp/build/bin/Release/ggml.dll buzz/whisper_cpp
+	cp whisper.cpp/build/bin/Release/ggml-base.dll buzz/whisper_cpp
+	cp whisper.cpp/build/bin/Release/ggml-cpu.dll buzz/whisper_cpp
+
+	# Build Whisper with Vulkan support. On Windows whisper-server.exe wil lbe used as dll approach is unreliable,
+	# it often does not see the GPU
+	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_RPATH='$$ORIGIN' -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DCMAKE_C_FLAGS="-D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR" -DCMAKE_CXX_FLAGS="-D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR" -DCMAKE_C_COMPILER_WORKS=TRUE -DCMAKE_CXX_COMPILER_WORKS=TRUE -DGGML_VULKAN=1
+	cmake --build whisper.cpp/build -j --config Release --verbose
+
+	cp whisper.cpp/build/bin/Release/whisper-server.exe buzz/
 endif
 
-buzz/whisper_cpp.py: buzz/$(LIBWHISPER) translation_mo
-	cd buzz && ctypesgen ../whisper.cpp/whisper.h -lwhisper -o whisper_cpp.py
-ifeq ($(shell uname -m), arm64)
-ifeq ($(shell uname -s), Darwin)
-	cd buzz && ctypesgen ../whisper.cpp/whisper.h -lwhisper-coreml -o whisper_cpp_coreml.py
+ifeq ($(shell uname -s), Linux)
+	# Build Whisper for CPU
+	-rm -rf whisper.cpp/build || true
+	-mkdir -p buzz/whisper_cpp
+	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_RPATH='$$ORIGIN' -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON
+	cmake --build whisper.cpp/build -j --config Release --verbose
+	cp whisper.cpp/build/src/libwhisper.so buzz/whisper_cpp/libwhisper.so || true
+	cp whisper.cpp/build/ggml/src/libggml.so buzz/whisper_cpp || true
+	cp whisper.cpp/build/ggml/src/libggml-base.so buzz/whisper_cpp || true
+	cp whisper.cpp/build/ggml/src/libggml-cpu.so buzz/whisper_cpp || true
+
+	# Build Whisper for Vulkan
+	rm -rf whisper.cpp/build || true
+	-mkdir -p buzz/whisper_cpp_vulkan
+	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_RPATH='$$ORIGIN' -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DGGML_VULKAN=1
+	cmake --build whisper.cpp/build -j --config Release --verbose
+	cp whisper.cpp/build/src/libwhisper.so buzz/whisper_cpp_vulkan/whisper-vulkan.so || true
+	cp whisper.cpp/build/ggml/src/libggml.so buzz/whisper_cpp_vulkan || true
+	cp whisper.cpp/build/ggml/src/libggml-base.so buzz/whisper_cpp_vulkan || true
+	cp whisper.cpp/build/ggml/src/libggml-cpu.so buzz/whisper_cpp_vulkan || true
+	cp whisper.cpp/build/ggml/src/ggml-vulkan/libggml-vulkan.so buzz/whisper_cpp_vulkan || true
 endif
+
+# Build on Macs
+ifeq ($(shell uname -s), Darwin)
+	-rm -rf whisper.cpp/build || true
+	-mkdir -p buzz/whisper_cpp
+
+ifeq ($(shell uname -m), arm64)
+	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DWHISPER_COREML=1
+else
+	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON
+endif
+
+	cmake --build whisper.cpp/build -j --config Release --verbose
+	cp whisper.cpp/build/src/libwhisper.dylib buzz/whisper_cpp/ || true
+	cp whisper.cpp/build/ggml/src/libggml* buzz/whisper_cpp/ || true
+endif
+
+buzz/whisper_cpp.py: buzz/whisper_cpp translation_mo
+	cd buzz && ctypesgen ../whisper.cpp/include/whisper.h -I../whisper.cpp/ggml/include -lwhisper -o ./whisper_cpp/whisper_cpp.py
+
+ifeq ($(shell uname -s), Linux)
+	cd buzz && ctypesgen ../whisper.cpp/include/whisper.h -I../whisper.cpp/ggml/include -lwhisper-vulkan -o ./whisper_cpp_vulkan/whisper_cpp_vulkan.py
 endif
 
 # Prints all the Mac developer identities used for code signing
@@ -238,7 +247,7 @@ ifeq ($(OS), Windows_NT)
 	done
 else
 	for dir in buzz/locale/*/ ; do \
-		python msgfmt.py -o $$dir/LC_MESSAGES/buzz.mo $$dir/LC_MESSAGES/buzz.po; \
+		python3 msgfmt.py -o $$dir/LC_MESSAGES/buzz.mo $$dir/LC_MESSAGES/buzz.po; \
 	done
 endif
 
diff --git a/buzz/buzz.py b/buzz/buzz.py
index 16568948..e3cba065 100644
--- a/buzz/buzz.py
+++ b/buzz/buzz.py
@@ -26,7 +26,10 @@ os.environ["PATH"] += os.pathsep + APP_BASE_DIR
 # Add the app directory to the DLL list: https://stackoverflow.com/a/64303856
 if platform.system() == "Windows":
     os.add_dll_directory(APP_BASE_DIR)
-    os.add_dll_directory(os.path.join(APP_BASE_DIR, "dll_backup"))
+
+    dll_backup_dir = os.path.join(APP_BASE_DIR, "dll_backup")
+    if os.path.isdir(dll_backup_dir):
+        os.add_dll_directory(dll_backup_dir)
 
 
 def main():
diff --git a/buzz/file_transcriber_queue_worker.py b/buzz/file_transcriber_queue_worker.py
index c7f349c2..b801873f 100644
--- a/buzz/file_transcriber_queue_worker.py
+++ b/buzz/file_transcriber_queue_worker.py
@@ -37,11 +37,16 @@ class FileTranscriberQueueWorker(QObject):
         super().__init__(parent)
         self.tasks_queue = queue.Queue()
         self.canceled_tasks: Set[UUID] = set()
+        self.current_transcriber = None
 
     @pyqtSlot()
     def run(self):
         logging.debug("Waiting for next transcription task")
 
+        # Clean up of previous run.
+        if self.current_transcriber is not None:
+            self.current_transcriber.stop()
+
         # Get next non-canceled task from queue
         while True:
             self.current_task: Optional[FileTranscriptionTask] = self.tasks_queue.get()
@@ -131,9 +136,14 @@ class FileTranscriberQueueWorker(QObject):
     def cancel_task(self, task_id: UUID):
         self.canceled_tasks.add(task_id)
 
-        if self.current_task.uid == task_id:
+        if self.current_task is not None and self.current_task.uid == task_id:
             if self.current_transcriber is not None:
                 self.current_transcriber.stop()
+                
+            if self.current_transcriber_thread is not None:
+                if not self.current_transcriber_thread.wait(3000):
+                    logging.warning("Transcriber thread did not terminate gracefully")
+                    self.current_transcriber_thread.terminate()
 
     def on_task_error(self, error: str):
         if (
diff --git a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
index 2e6342d9..452670b1 100644
--- a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2025-05-17 18:25+0200\n"
 "Last-Translator: Éric Duarte <contacto@ericdq.com>\n"
 "Language-Team: Catalan <jmas@softcatala.org>\n"
@@ -295,8 +295,8 @@ msgid "Download failed"
 msgstr "Descàrrega fallida"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Error"
 
@@ -486,11 +486,11 @@ msgstr "Esperant la traducció de la IA..."
 msgid "Microphone:"
 msgstr "Micròfon:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "S'ha produït un error en iniciar un enregistrament nou:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -540,7 +540,6 @@ msgid "Export"
 msgstr "Exporta"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Traduir"
 
@@ -664,6 +663,24 @@ msgstr "Selecciona un fitxer d'àudio"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "No s'ha pogut desar la clau OpenAI API a l'anell de claus"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Configuració de la traducció"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "Transcriure"
@@ -1024,7 +1041,11 @@ msgstr "Sundanès"
 msgid "Cantonese"
 msgstr "Cantonès"
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "S'ha produït un error de connexió"
 
diff --git a/buzz/locale/da_DK/LC_MESSAGES/buzz.po b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
index 716b31d2..aebc8480 100644
--- a/buzz/locale/da_DK/LC_MESSAGES/buzz.po
+++ b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
@@ -2,7 +2,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: \n"
 "Last-Translator: Ole Guldberg2 <xalt7x.service@gmail.com>\n"
 "Language-Team: \n"
@@ -295,8 +295,8 @@ msgid "Download failed"
 msgstr "Download mislykkedes"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Fejl"
 
@@ -487,11 +487,11 @@ msgstr "Venter på AI oversættelse..."
 msgid "Microphone:"
 msgstr "Mikrofon:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "Der skete en fejl ved opstart af en ny optagelse:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -541,7 +541,6 @@ msgid "Export"
 msgstr "Eksporter"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Oversæt"
 
@@ -665,6 +664,24 @@ msgstr "Vælg audio-fil"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "Kan ikke gemme OpenAI API-nøgle i nøgleringen"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Oversættelsesindstillinger"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "Transkriber"
@@ -1025,7 +1042,11 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "Der er opstået en forbindelsesfejl"
 
diff --git a/buzz/locale/de_DE/LC_MESSAGES/buzz.po b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
index 2d92ad9d..e83d4b57 100644
--- a/buzz/locale/de_DE/LC_MESSAGES/buzz.po
+++ b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
@@ -6,7 +6,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2025-03-05 14:41+0100\n"
 "Last-Translator: \n"
 "Language-Team: \n"
@@ -295,8 +295,8 @@ msgid "Download failed"
 msgstr "Der Download ist fehlgeschlagen"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Fehler"
 
@@ -487,11 +487,11 @@ msgstr "Warten auf KI-Übersetzung..."
 msgid "Microphone:"
 msgstr "Mikrofon:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "Beim Starten einer neuen Aufnahme ist ein Fehler aufgetreten:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -541,7 +541,6 @@ msgid "Export"
 msgstr "Export"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Übersetzen"
 
@@ -666,6 +665,24 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr ""
 "Der OpenAI-API-Schlüssel kann nicht im Schlüsselbund gespeichert werden"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Übersetzungseinstellungen"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "Transkribieren"
@@ -1026,7 +1043,11 @@ msgstr "Sundanesisch"
 msgid "Cantonese"
 msgstr "Kantonesisch"
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "Ein Verbindungsfehler ist aufgetreten"
 
diff --git a/buzz/locale/en_US/LC_MESSAGES/buzz.po b/buzz/locale/en_US/LC_MESSAGES/buzz.po
index 8d676e77..4ef96253 100644
--- a/buzz/locale/en_US/LC_MESSAGES/buzz.po
+++ b/buzz/locale/en_US/LC_MESSAGES/buzz.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: PACKAGE VERSION\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -287,8 +287,8 @@ msgid "Download failed"
 msgstr ""
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr ""
 
@@ -477,11 +477,11 @@ msgstr ""
 msgid "Microphone:"
 msgstr ""
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr ""
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -529,7 +529,6 @@ msgid "Export"
 msgstr ""
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr ""
 
@@ -647,6 +646,23 @@ msgstr ""
 msgid "Unable to save OpenAI API key to keyring"
 msgstr ""
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+msgid "Translate to English"
+msgstr ""
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr ""
@@ -1007,7 +1023,11 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr ""
 
diff --git a/buzz/locale/es_ES/LC_MESSAGES/buzz.po b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
index d04f9816..06067e42 100644
--- a/buzz/locale/es_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2025-05-17 18:27+0200\n"
 "Last-Translator: Éric Duarte <contacto@ericdq.com>\n"
 "Language-Team: \n"
@@ -301,8 +301,8 @@ msgid "Download failed"
 msgstr "Descarga fallida"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Error"
 
@@ -517,12 +517,12 @@ msgid "Microphone:"
 msgstr "Micrófono:"
 
 # automatic translation
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "Se produjo un error al iniciar una grabación nueva:"
 
 # automatic translation
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -575,7 +575,6 @@ msgid "Export"
 msgstr "Exportar"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Traducir"
 
@@ -707,6 +706,24 @@ msgstr "Seleccionar archivo de audio"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "No se puede guardar la clave de la API de OpenAI en el llavero"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Ajustes de traducción"
+
 # automatic translation
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
@@ -1068,7 +1085,11 @@ msgstr "Sundanés"
 msgid "Cantonese"
 msgstr "Cantonés"
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "Se ha producido un error de conexión"
 
diff --git a/buzz/locale/it_IT/LC_MESSAGES/buzz.po b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
index cf293f1d..d1603b70 100644
--- a/buzz/locale/it_IT/LC_MESSAGES/buzz.po
+++ b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
@@ -6,7 +6,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2025-05-30 15:22+0100\n"
 "Language-Team: (Italiano) Albano Battistella <albanobattistella@gmail.com>\n"
 "Language: it_IT\n"
@@ -294,8 +294,8 @@ msgid "Download failed"
 msgstr "Download non riuscito"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Errore"
 
@@ -486,11 +486,11 @@ msgstr "In attesa della traduzione AI..."
 msgid "Microphone:"
 msgstr "Microfono:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "Si è verificato un errore durante l'avvio della nuova registrazione:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -540,7 +540,6 @@ msgid "Export"
 msgstr "Esporta"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Tradurre"
 
@@ -664,6 +663,24 @@ msgstr "Seleziona file audio"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "Impossibile salvare la chiave API OpenAI nel portachiavi"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Impostazioni di traduzione"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "Trascrivere"
@@ -1024,7 +1041,11 @@ msgstr "Sundanese"
 msgid "Cantonese"
 msgstr "Cantonese"
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "Si è verificato un errore di connessione"
 
diff --git a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
index b43fd937..3faed844 100644
--- a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
@@ -2,7 +2,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: \n"
 "Last-Translator: nunawa <71294849+nunawa@users.noreply.github.com>\n"
 "Language-Team: \n"
@@ -291,8 +291,8 @@ msgid "Download failed"
 msgstr "ダウンロード失敗"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "エラー"
 
@@ -483,11 +483,11 @@ msgstr "AI翻訳を待っています..."
 msgid "Microphone:"
 msgstr "マイク:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "新規録音開始時にエラーが発生しました:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -537,7 +537,6 @@ msgid "Export"
 msgstr "出力"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "翻訳"
 
@@ -660,6 +659,24 @@ msgstr "音声ファイルを選択"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "OpenAI API キーをkeyringに保存できません"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "翻訳設定"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "文字起こし"
@@ -1020,7 +1037,11 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "接続エラーが発生しました"
 
diff --git a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
index b20bd5de..27963ae2 100644
--- a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
+++ b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
@@ -8,8 +8,8 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
-"PO-Revision-Date: 2025-07-06 20:11+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
+"PO-Revision-Date: 2025-07-18 09:14+0300\n"
 "Last-Translator: \n"
 "Language-Team: \n"
 "Language: lv_LV\n"
@@ -297,8 +297,8 @@ msgid "Download failed"
 msgstr "Lejupielāde neizdevās"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Kļūda"
 
@@ -383,6 +383,8 @@ msgid ""
 "Enter instructions for AI on how to translate, for example 'Please translate "
 "each text sent to you from English to Spanish.'"
 msgstr ""
+"Ievadiet instrukcijas mākslīgajam intelektam, piemēram, 'Lūdzu, iztulko "
+"katru tev atsūtīto tekstu no angļu valodas latviski'"
 
 #: buzz/widgets/transcriber/advanced_settings_dialog.py:92
 msgid "Instructions for AI:"
@@ -489,11 +491,11 @@ msgstr "Gaida MI tulkojumu..."
 msgid "Microphone:"
 msgstr "Mikrofons:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "Sākot jaunu ierakstu notikusi kļūda:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -543,7 +545,6 @@ msgid "Export"
 msgstr "Eksportēt"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Tulkot"
 
@@ -665,6 +666,28 @@ msgstr "Izvēlieties audio failu"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "Neizdevās saglabāt OpenAI API atslēgu atslēgu saišķī"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+"Whisper serverim neizdevās ieslēgties. Lūdzu pārbaudiet lietotnes žurnāla "
+"ierakstus."
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+"Whisper serverim neizdevās ieslēgties, jo nepietika atmiņas. Lūdzu mēģiniet "
+"vēlreiz ar mazāku modeli. Lai izmantotu tikai CPU iestatiet "
+"BUZZ_FORCE_CPU=TRUE vides mainīgo."
+
+#: buzz/transcriber/transcriber.py:24
+msgid "Translate to English"
+msgstr "Tulkot angliski"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "Atpazīt"
@@ -1025,7 +1048,11 @@ msgstr "Sundāņu"
 msgid "Cantonese"
 msgstr "Kantonas"
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr "Palaiž Whisper.cpp..."
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "Notika savienojuma kļūda"
 
diff --git a/buzz/locale/nl/LC_MESSAGES/buzz.po b/buzz/locale/nl/LC_MESSAGES/buzz.po
index 0c9c2158..e0668d39 100644
--- a/buzz/locale/nl/LC_MESSAGES/buzz.po
+++ b/buzz/locale/nl/LC_MESSAGES/buzz.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2025-03-20 18:30+0100\n"
 "Last-Translator: Heimen Stoffels <vistausss@fastmail.com>\n"
 "Language-Team: none\n"
@@ -297,8 +297,8 @@ msgid "Download failed"
 msgstr "Het downloaden is mislukt"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Foutmelding"
 
@@ -489,11 +489,11 @@ msgstr "Bezig met wachten op AI-vertaling…"
 msgid "Microphone:"
 msgstr "Microfoon:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "Er is een fout opgetreden tijdens het starten van de opname:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -541,7 +541,6 @@ msgid "Export"
 msgstr "Exporteren"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Vertalen"
 
@@ -664,6 +663,24 @@ msgstr "Kies een audiobestand"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "De OpenAI-api-sleutel kan niet worden bewaard in de sleutelbos"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Vertaalinstellingen"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "Transcriberen"
@@ -1024,7 +1041,11 @@ msgstr "Soedanees"
 msgid "Cantonese"
 msgstr "Kantonees"
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "Er is een verbindingsfout opgetreden"
 
diff --git a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
index 7325da03..3ab5532c 100644
--- a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2024-03-17 20:50+0200\n"
 "Last-Translator: \n"
 "Language-Team: \n"
@@ -298,8 +298,8 @@ msgid "Download failed"
 msgstr "Pobrany"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Błąd"
 
@@ -495,11 +495,11 @@ msgstr ""
 msgid "Microphone:"
 msgstr "Mikrofon:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "Wystąpił błąd podczas rozpoczęcia nowego nagrania:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -550,7 +550,6 @@ msgid "Export"
 msgstr ""
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr ""
 
@@ -674,6 +673,24 @@ msgstr "Wybierz plik audio"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr ""
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Nowa transkrypcja"
+
 #: buzz/transcriber/transcriber.py:25
 #, fuzzy
 msgid "Transcribe"
@@ -1035,7 +1052,11 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr ""
 
diff --git a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
index 678dc6a9..874569aa 100644
--- a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: Buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2025-06-29 22:23-0300\n"
 "Last-Translator: Paulo Schopf <pschopf@gmail.com>\n"
 "Language-Team: none\n"
@@ -295,8 +295,8 @@ msgid "Download failed"
 msgstr "Falha ao baixar"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Erro"
 
@@ -485,11 +485,11 @@ msgstr "Aguardando tradução da IA..."
 msgid "Microphone:"
 msgstr "Microfone:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "Ocorreu um erro ao iniciar uma nova gravação:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -539,7 +539,6 @@ msgid "Export"
 msgstr "Exportar"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Traduzir"
 
@@ -663,6 +662,24 @@ msgstr "Selecionar arquivo de áudio"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "Não foi possível salvar a chave da API OpenAI no cofre de chaves"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Configurações de tradução"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "Transcrever"
@@ -1023,7 +1040,11 @@ msgstr "Sundanês"
 msgid "Cantonese"
 msgstr "Cantonês"
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "Ocorreu um erro de conexão"
 
diff --git a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
index 50641966..5a627a82 100644
--- a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
+++ b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
@@ -2,7 +2,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: \n"
 "Last-Translator: Yevhen Popok <xalt7x.service@gmail.com>\n"
 "Language-Team: \n"
@@ -293,8 +293,8 @@ msgid "Download failed"
 msgstr "Невдале завантаження"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "Помилка"
 
@@ -485,11 +485,11 @@ msgstr "Очікування перекладу від ШІ..."
 msgid "Microphone:"
 msgstr "Мікрофон:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "При старті нового запису виникла помилка:"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -539,7 +539,6 @@ msgid "Export"
 msgstr "Експорт"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "Перекласти"
 
@@ -661,6 +660,24 @@ msgstr "Вибрати аудіофайл"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "Не вдається додати до звʼязки ключів API-ключ OpenAI"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "Налаштування перекладу"
+
 #: buzz/transcriber/transcriber.py:25
 msgid "Transcribe"
 msgstr "Розпізнати"
@@ -1021,7 +1038,11 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "Виникла помилка зʼєднання"
 
diff --git a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
index 8e5ec19d..6ec07ffd 100644
--- a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2023-05-01 15:45+0800\n"
 "Last-Translator: \n"
 "Language-Team: lamb \n"
@@ -301,8 +301,8 @@ msgid "Download failed"
 msgstr "下载模型失败"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr "错误"
 
@@ -498,11 +498,11 @@ msgstr "等待AI翻译..."
 msgid "Microphone:"
 msgstr "麦克风:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "开始新录制时出错"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -551,7 +551,6 @@ msgid "Export"
 msgstr "导出"
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr "翻译"
 
@@ -674,6 +673,24 @@ msgstr "选择音频文件"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr "无法将OpenAI API密钥保存到密钥串"
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "翻译设置"
+
 #: buzz/transcriber/transcriber.py:25
 #, fuzzy
 msgid "Transcribe"
@@ -1035,7 +1052,11 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr "连接发生错误"
 
diff --git a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
index 0d035a68..ee018283 100644
--- a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2025-07-06 20:16+0300\n"
+"POT-Creation-Date: 2025-07-18 09:13+0300\n"
 "PO-Revision-Date: 2023-05-01 15:45+0800\n"
 "Last-Translator: \n"
 "Language-Team: Lamb\n"
@@ -296,8 +296,8 @@ msgid "Download failed"
 msgstr "下載模型"
 
 #: buzz/widgets/preferences_dialog/models_preferences_widget.py:273
-#: buzz/widgets/main_window.py:295 buzz/model_loader.py:515
-#: buzz/model_loader.py:529
+#: buzz/widgets/main_window.py:295 buzz/model_loader.py:505
+#: buzz/model_loader.py:519
 msgid "Error"
 msgstr ""
 
@@ -493,11 +493,11 @@ msgstr ""
 msgid "Microphone:"
 msgstr "麥克風:"
 
-#: buzz/widgets/recording_transcriber_widget.py:577
+#: buzz/widgets/recording_transcriber_widget.py:579
 msgid "An error occurred while starting a new recording:"
 msgstr "開始新錄製出錯"
 
-#: buzz/widgets/recording_transcriber_widget.py:581
+#: buzz/widgets/recording_transcriber_widget.py:583
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -546,7 +546,6 @@ msgid "Export"
 msgstr ""
 
 #: buzz/widgets/transcription_viewer/transcription_viewer_widget.py:174
-#: buzz/transcriber/transcriber.py:24
 msgid "Translate"
 msgstr ""
 
@@ -668,6 +667,24 @@ msgstr "選擇聲音檔案"
 msgid "Unable to save OpenAI API key to keyring"
 msgstr ""
 
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:51
+#: buzz/transcriber/recording_transcriber.py:372
+msgid "Whisper server failed to start. Check logs for details."
+msgstr ""
+
+#: buzz/transcriber/local_whisper_cpp_server_transcriber.py:54
+#: buzz/transcriber/recording_transcriber.py:375
+msgid ""
+"Whisper server failed to start due to insufficient memory. Please try again "
+"with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
+"variable."
+msgstr ""
+
+#: buzz/transcriber/transcriber.py:24
+#, fuzzy
+msgid "Translate to English"
+msgstr "新錄製"
+
 #: buzz/transcriber/transcriber.py:25
 #, fuzzy
 msgid "Transcribe"
@@ -1029,7 +1046,11 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/model_loader.py:548
+#: buzz/transcriber/recording_transcriber.py:338
+msgid "Starting Whisper.cpp..."
+msgstr ""
+
+#: buzz/model_loader.py:538
 msgid "A connection error occurred"
 msgstr ""
 
diff --git a/buzz/model_loader.py b/buzz/model_loader.py
index 4e89c046..32d66205 100644
--- a/buzz/model_loader.py
+++ b/buzz/model_loader.py
@@ -7,7 +7,6 @@ import threading
 import shutil
 import subprocess
 import sys
-import tempfile
 import warnings
 import platform
 import requests
@@ -23,16 +22,6 @@ from huggingface_hub.errors import LocalEntryNotFoundError
 
 from buzz.locale import _
 
-# Catch exception from whisper.dll not getting loaded.
-# TODO: Remove flag and try-except when issue with loading
-# the DLL in some envs is fixed.
-LOADED_WHISPER_CPP_BINARY = False
-try:
-    import buzz.whisper_cpp as whisper_cpp  # noqa: F401
-
-    LOADED_WHISPER_CPP_BINARY = True
-except ImportError:
-    logging.exception("")
 
 model_root_dir = user_cache_dir("Buzz")
 model_root_dir = os.path.join(model_root_dir, "models")
@@ -89,6 +78,7 @@ class ModelType(enum.Enum):
         )
 
     def is_available(self):
+        from buzz.transcriber.whisper_cpp import LOADED_WHISPER_CPP_BINARY
         if (
             # Hide Whisper.cpp option if whisper.dll did not load correctly.
             # See: https://github.com/chidiwilliams/buzz/issues/274,
diff --git a/buzz/transcriber/file_transcriber.py b/buzz/transcriber/file_transcriber.py
index 804bc254..4c52f13a 100755
--- a/buzz/transcriber/file_transcriber.py
+++ b/buzz/transcriber/file_transcriber.py
@@ -6,11 +6,13 @@ import shutil
 import tempfile
 from abc import abstractmethod
 from typing import Optional, List
+from pathlib import Path
 
 from PyQt6.QtCore import QObject, pyqtSignal, pyqtSlot
 from yt_dlp import YoutubeDL
 
-from buzz.whisper_audio import SAMPLE_RATE
+from buzz import whisper_audio
+from buzz.assets import APP_BASE_DIR
 from buzz.transcriber.transcriber import (
     FileTranscriptionTask,
     get_output_file_path,
@@ -18,6 +20,9 @@ from buzz.transcriber.transcriber import (
     OutputFormat,
 )
 
+app_env = os.environ.copy()
+app_env['PATH'] = os.pathsep.join([os.path.join(APP_BASE_DIR, "_internal")] + [app_env['PATH']])
+
 
 class FileTranscriber(QObject):
     transcription_task: FileTranscriptionTask
@@ -35,6 +40,7 @@ class FileTranscriber(QObject):
         if self.transcription_task.source == FileTranscriptionTask.Source.URL_IMPORT:
             temp_output_path = tempfile.mktemp()
             wav_file = temp_output_path + ".wav"
+            wav_file = str(Path(wav_file).resolve())
 
             cookiefile = os.getenv("BUZZ_DOWNLOAD_COOKIEFILE")
 
@@ -64,16 +70,17 @@ class FileTranscriber(QObject):
                 "-threads", "0",
                 "-i", temp_output_path,
                 "-ac", "1",
-                "-ar", str(SAMPLE_RATE),
+                "-ar", str(whisper_audio.SAMPLE_RATE),
                 "-acodec", "pcm_s16le",
                 "-loglevel", "panic",
-                wav_file]
+                wav_file
+            ]
 
             if sys.platform == "win32":
                 si = subprocess.STARTUPINFO()
                 si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
                 si.wShowWindow = subprocess.SW_HIDE
-                result = subprocess.run(cmd, capture_output=True, startupinfo=si)
+                result = subprocess.run(cmd, capture_output=True, startupinfo=si, env=app_env)
             else:
                 result = subprocess.run(cmd, capture_output=True)
 
diff --git a/buzz/transcriber/local_whisper_cpp_server_transcriber.py b/buzz/transcriber/local_whisper_cpp_server_transcriber.py
new file mode 100644
index 00000000..08f65a7f
--- /dev/null
+++ b/buzz/transcriber/local_whisper_cpp_server_transcriber.py
@@ -0,0 +1,87 @@
+import logging
+import os
+import time
+import subprocess
+from typing import Optional, List
+
+from PyQt6.QtCore import QObject
+from openai import OpenAI
+
+from buzz.locale import _
+from buzz.assets import APP_BASE_DIR
+from buzz.transcriber.openai_whisper_api_file_transcriber import OpenAIWhisperAPIFileTranscriber
+from buzz.transcriber.transcriber import FileTranscriptionTask, Segment
+
+
+class LocalWhisperCppServerTranscriber(OpenAIWhisperAPIFileTranscriber):
+    # To be used on Windows only
+    def __init__(self, task: FileTranscriptionTask, parent: Optional["QObject"] = None) -> None:
+        super().__init__(task=task, parent=parent)
+
+        self.process = None
+        self.initialization_error = None
+        command = [
+            os.path.join(APP_BASE_DIR, "whisper-server.exe"),
+            "--port", "3000",
+            "--inference-path", "/audio/transcriptions",
+            "--threads", str(os.getenv("BUZZ_WHISPERCPP_N_THREADS", (os.cpu_count() or 8)//2)),
+            "--language", task.transcription_options.language,
+            "--model", task.model_path
+        ]
+
+        logging.debug(f"Starting Whisper server with command: {' '.join(command)}")
+
+        self.process = subprocess.Popen(
+            command,
+            stdout=subprocess.DEVNULL,  # For debug set to subprocess.PIPE, but it will freeze on Windows after ~30 seconds
+            stderr=subprocess.PIPE,
+            shell=False,
+            creationflags=subprocess.CREATE_NO_WINDOW
+        )
+
+        # Wait for server to start and load model
+        time.sleep(10)
+
+        if self.process is not None and self.process.poll() is None:
+            logging.debug(f"Whisper server started successfully.")
+            logging.debug(f"Model: {task.model_path}")
+        else:
+            stderr_output = self.process.stderr.read().decode()
+            logging.error(f"Whisper server failed to start. Error: {stderr_output}")
+            self.initialization_error = _("Whisper server failed to start. Check logs for details.")
+
+            if "ErrorOutOfDeviceMemory" in stderr_output:
+                self.initialization_error = _("Whisper server failed to start due to insufficient memory. "
+                                              "Please try again with a smaller model. "
+                                              "To force CPU mode use BUZZ_FORCE_CPU=TRUE environment variable.")
+            return
+
+        self.openai_client = OpenAI(
+            api_key="not-used",
+            base_url="http://127.0.0.1:3000"
+        )
+
+    def transcribe(self) -> List[Segment]:
+        if self.initialization_error:
+            raise Exception(self.initialization_error)
+
+        return super().transcribe()
+
+    def stop(self):
+        if self.process and self.process.poll() is None:
+            try:
+                self.process.terminate()
+                self.process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                # Force kill if terminate doesn't work within 5 seconds
+                logging.warning("Whisper server didn't terminate gracefully, force killing")
+                self.process.kill()
+                try:
+                    self.process.wait(timeout=2)
+                except subprocess.TimeoutExpired:
+                    logging.error("Failed to kill whisper server process")
+            except Exception as e:
+                logging.error(f"Error stopping whisper server: {e}")
+
+    def __del__(self):
+        self.stop()
\ No newline at end of file
diff --git a/buzz/transcriber/openai_whisper_api_file_transcriber.py b/buzz/transcriber/openai_whisper_api_file_transcriber.py
index 27085503..dd7f7ac5 100644
--- a/buzz/transcriber/openai_whisper_api_file_transcriber.py
+++ b/buzz/transcriber/openai_whisper_api_file_transcriber.py
@@ -4,6 +4,8 @@ import os
 import sys
 import subprocess
 import tempfile
+
+from pathlib import Path
 from typing import Optional, List
 
 from PyQt6.QtCore import QObject
@@ -11,7 +13,7 @@ from openai import OpenAI
 
 from buzz.settings.settings import Settings
 from buzz.model_loader import get_custom_api_whisper_model
-from buzz.transcriber.file_transcriber import FileTranscriber
+from buzz.transcriber.file_transcriber import FileTranscriber, app_env
 from buzz.transcriber.transcriber import FileTranscriptionTask, Segment, Task
 from buzz.transcriber.whisper_cpp import append_segment
 
@@ -41,6 +43,7 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
         )
 
         mp3_file = tempfile.mktemp() + ".mp3"
+        mp3_file = str(Path(mp3_file).resolve())
 
         cmd = [
             "ffmpeg",
@@ -53,7 +56,7 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
             si = subprocess.STARTUPINFO()
             si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
             si.wShowWindow = subprocess.SW_HIDE
-            result = subprocess.run(cmd, capture_output=True, startupinfo=si)
+            result = subprocess.run(cmd, capture_output=True, startupinfo=si, env=app_env)
         else:
             result = subprocess.run(cmd, capture_output=True)
 
@@ -80,7 +83,7 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
             si.wShowWindow = subprocess.SW_HIDE
 
             duration_secs = float(
-                subprocess.run(cmd, capture_output=True, check=True, startupinfo=si).stdout.decode("utf-8")
+                subprocess.run(cmd, capture_output=True, check=True, startupinfo=si, env=app_env).stdout.decode("utf-8")
             )
         else:
             duration_secs = float(
@@ -107,6 +110,7 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
             chunk_end = min((i + 1) * chunk_duration, duration_secs)
 
             chunk_file = tempfile.mktemp() + ".mp3"
+            chunk_file = str(Path(chunk_file).resolve())
 
             # fmt: off
             cmd = [
@@ -122,7 +126,7 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
                 si = subprocess.STARTUPINFO()
                 si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
                 si.wShowWindow = subprocess.SW_HIDE
-                subprocess.run(cmd, capture_output=True, check=True, startupinfo=si)
+                subprocess.run(cmd, capture_output=True, check=True, startupinfo=si, env=app_env)
             else:
                 subprocess.run(cmd, capture_output=True, check=True)
 
@@ -168,7 +172,7 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
             segments = getattr(transcript, "segments", None)
 
             words = getattr(transcript, "words", None)
-            if "words" is None and "words" in transcript.model_extra:
+            if words is None and "words" in transcript.model_extra:
                 words = transcript.model_extra["words"]
 
             if segments is None:
diff --git a/buzz/transcriber/recording_transcriber.py b/buzz/transcriber/recording_transcriber.py
index 2570ed96..d90a59a1 100644
--- a/buzz/transcriber/recording_transcriber.py
+++ b/buzz/transcriber/recording_transcriber.py
@@ -2,10 +2,12 @@ import datetime
 import logging
 import platform
 import os
+import sys
 import wave
 import time
 import tempfile
 import threading
+import subprocess
 from typing import Optional
 from platformdirs import user_cache_dir
 
@@ -17,7 +19,9 @@ from openai import OpenAI
 from PyQt6.QtCore import QObject, pyqtSignal
 
 from buzz import whisper_audio
-from buzz.model_loader import WhisperModelSize, ModelType, get_custom_api_whisper_model
+from buzz.locale import _
+from buzz.assets import APP_BASE_DIR
+from buzz.model_loader import ModelType, get_custom_api_whisper_model
 from buzz.settings.settings import Settings
 from buzz.transcriber.transcriber import TranscriptionOptions, Task
 from buzz.transcriber.whisper_cpp import WhisperCpp
@@ -65,8 +69,11 @@ class RecordingTranscriber(QObject):
         self.sounddevice = sounddevice
         self.openai_client = None
         self.whisper_api_model = get_custom_api_whisper_model("")
+        self.is_windows = sys.platform == "win32"
+        self.process = None
 
     def start(self):
+        model = None
         model_path = self.model_path
         keep_samples = int(self.keep_sample_seconds * self.sample_rate)
 
@@ -80,7 +87,11 @@ class RecordingTranscriber(QObject):
             device = "cuda" if use_cuda else "cpu"
             model = whisper.load_model(model_path, device=device)
         elif self.transcription_options.model.model_type == ModelType.WHISPER_CPP:
-            model = WhisperCpp(model_path)
+            # As DLL mode on Windows is somewhat unreliable, will use local whisper-server
+            if self.is_windows:
+                self.start_local_whisper_server()
+            else:
+                model = WhisperCpp(model_path)
         elif self.transcription_options.model.model_type == ModelType.FASTER_WHISPER:
             model_root_dir = user_cache_dir("Buzz")
             model_root_dir = os.path.join(model_root_dir, "models")
@@ -91,6 +102,10 @@ class RecordingTranscriber(QObject):
                 logging.debug("Unsupported CUDA version (<12), using CPU")
                 device = "cpu"
 
+            if not torch.cuda.is_available():
+                logging.debug("CUDA is not available, using CPU")
+                device = "cpu"
+
             if force_cpu != "false":
                 device = "cpu"
 
@@ -134,7 +149,6 @@ class RecordingTranscriber(QObject):
         )
 
         self.is_running = True
-        amplitude = 0.0
         try:
             with self.sounddevice.InputStream(
                 samplerate=self.sample_rate,
@@ -159,7 +173,7 @@ class RecordingTranscriber(QObject):
                             amplitude,
                         )
 
-                        if amplitude < 0.01:
+                        if amplitude < 0.025:
                             time.sleep(0.5)
                             continue
 
@@ -181,6 +195,8 @@ class RecordingTranscriber(QObject):
                         elif (
                                 self.transcription_options.model.model_type
                                 == ModelType.WHISPER_CPP
+                                # On Windows we use the local whisper server via OpenAI API
+                                and not self.is_windows
                         ):
                             assert isinstance(model, WhisperCpp)
                             result = model.transcribe(
@@ -220,7 +236,11 @@ class RecordingTranscriber(QObject):
                                 task=self.transcription_options.task.value,
                             )
                         else:  # OPEN_AI_WHISPER_API
-                            assert self.openai_client is not None
+                            if self.openai_client is None:
+                                self.transcription.emit(_("A connection error occurred"))
+                                self.stop_recording()
+                                return
+
                             # scale samples to 16-bit PCM
                             pcm_data = (samples * 32767).astype(np.int16).tobytes()
 
@@ -237,7 +257,7 @@ class RecordingTranscriber(QObject):
                                 options = {
                                     "model": self.whisper_api_model,
                                     "file": temp_file,
-                                    "response_format": "verbose_json",
+                                    "response_format": "json",
                                     "prompt": self.transcription_options.initial_prompt,
                                 }
 
@@ -251,10 +271,17 @@ class RecordingTranscriber(QObject):
                                         else self.openai_client.audio.translations.create(**options)
                                     )
 
-                                    result = {"text": " ".join(
-                                        [segment["text"] for segment in transcript.model_extra["segments"]])}
+                                    if "segments" in transcript.model_extra:
+                                        result = {"text": " ".join(
+                                            [segment["text"] for segment in transcript.model_extra["segments"]])}
+                                    else:
+                                        result = {"text": transcript.text}
+
                                 except Exception as e:
-                                    result = {"text": f"Error: {str(e)}"}
+                                    if self.is_running:
+                                        result = {"text": f"Error: {str(e)}"}
+                                    else:
+                                        result = {"text": ""}
 
                             os.unlink(temp_filename)
 
@@ -279,6 +306,12 @@ class RecordingTranscriber(QObject):
 
         self.finished.emit()
 
+        # Cleanup
+        if model:
+            del model
+        if torch.cuda.is_available():
+            torch.cuda.empty_cache()
+
     @staticmethod
     def get_device_sample_rate(device_id: Optional[int]) -> int:
         """Returns the sample rate to be used for recording. It uses the default sample rate
@@ -308,3 +341,65 @@ class RecordingTranscriber(QObject):
 
     def stop_recording(self):
         self.is_running = False
+        if self.process and self.process.poll() is None:
+            self.process.terminate()
+            self.process.wait()
+
+    def start_local_whisper_server(self):
+        self.transcription.emit(_("Starting Whisper.cpp..."))
+
+        self.process = None
+        command = [
+            os.path.join(APP_BASE_DIR, "whisper-server.exe"),
+            "--port", "3004",
+            "--inference-path", "/audio/transcriptions",
+            "--threads", str(os.getenv("BUZZ_WHISPERCPP_N_THREADS", (os.cpu_count() or 8)//2)),
+            "--language", self.transcription_options.language,
+            "--model", self.model_path,
+            "--no-timestamps",
+            "--no-context",  # on Windows context causes duplications of last message
+        ]
+
+        logging.debug(f"Starting Whisper server with command: {' '.join(command)}")
+
+        self.process = subprocess.Popen(
+            command,
+            stdout=subprocess.DEVNULL,  # For debug set to subprocess.PIPE, but it will freeze on Windows after ~30 seconds
+            stderr=subprocess.PIPE,
+            shell=False,
+            creationflags=subprocess.CREATE_NO_WINDOW
+        )
+
+        # Wait for server to start and load model
+        time.sleep(10)
+
+        if self.process is not None and self.process.poll() is None:
+            logging.debug(f"Whisper server started successfully.")
+            logging.debug(f"Model: {self.model_path}")
+        else:
+            stderr_output = self.process.stderr.read().decode()
+            logging.error(f"Whisper server failed to start. Error: {stderr_output}")
+
+            self.transcription.emit(_("Whisper server failed to start. Check logs for details."))
+
+            if "ErrorOutOfDeviceMemory" in stderr_output:
+                message = _("Whisper server failed to start due to insufficient memory. "
+                            "Please try again with a smaller model. "
+                            "To force CPU mode use BUZZ_FORCE_CPU=TRUE environment variable.")
+                logging.error(message)
+                self.transcription.emit(message)
+
+            self.transcription.emit(_("Whisper server failed to start. Check logs for details."))
+            return
+
+        self.openai_client = OpenAI(
+            api_key="not-used",
+            base_url="http://127.0.0.1:3004",
+            timeout=10.0,
+            max_retries=0
+        )
+
+    def __del__(self):
+        if self.process and self.process.poll() is None:
+            self.process.terminate()
+            self.process.wait()
\ No newline at end of file
diff --git a/buzz/transcriber/transcriber.py b/buzz/transcriber/transcriber.py
index 42f9965b..1aa28ec8 100644
--- a/buzz/transcriber/transcriber.py
+++ b/buzz/transcriber/transcriber.py
@@ -21,7 +21,7 @@ class Task(enum.Enum):
 
 
 TASK_LABEL_TRANSLATIONS = {
-    Task.TRANSLATE: _("Translate"),
+    Task.TRANSLATE: _("Translate to English"),
     Task.TRANSCRIBE: _("Transcribe"),
 }
 
diff --git a/buzz/transcriber/whisper_cpp.py b/buzz/transcriber/whisper_cpp.py
index c9dc67e1..66029dcb 100644
--- a/buzz/transcriber/whisper_cpp.py
+++ b/buzz/transcriber/whisper_cpp.py
@@ -1,5 +1,6 @@
 import platform
 import os
+import sys
 import ctypes
 import logging
 from typing import Union, Any, List
@@ -7,21 +8,43 @@ from typing import Union, Any, List
 import numpy as np
 
 from buzz import whisper_audio
-from buzz.model_loader import LOADED_WHISPER_CPP_BINARY
 from buzz.transcriber.transcriber import Segment, Task, TranscriptionOptions
 
-if LOADED_WHISPER_CPP_BINARY:
-    from buzz import whisper_cpp
 
+LOADED_WHISPER_CPP_BINARY = False
+IS_VULKAN_SUPPORTED = False
+try:
+    import vulkan
 
-IS_COREML_SUPPORTED = False
-if platform.system() == "Darwin" and platform.machine() == "arm64":
+    instance = vulkan.vkCreateInstance(vulkan.VkInstanceCreateInfo(), None)
+    vulkan.vkDestroyInstance(instance, None)
+    vulkan_version = vulkan.vkEnumerateInstanceVersion()
+    major = (vulkan_version >> 22) & 0x3FF
+    minor = (vulkan_version >> 12) & 0x3FF
+
+    logging.debug("Vulkan version = %s.%s", major, minor)
+
+    # On macOS, default whisper_cpp is compiled with CoreML (Apple Silicon) or Vulkan (Intel).
+    # On Windows whisper-server.exe subprocess will be used
+    if (platform.system() == "Linux") and ((major > 1) or (major == 1 and minor >= 2)):
+        from buzz.whisper_cpp_vulkan import whisper_cpp_vulkan
+
+        IS_VULKAN_SUPPORTED = True
+        LOADED_WHISPER_CPP_BINARY = True
+
+except (ImportError, Exception) as e:
+    logging.debug(f"Vulkan import error: {e}")
+
+    IS_VULKAN_SUPPORTED = False
+
+if not IS_VULKAN_SUPPORTED:
     try:
-        from buzz import whisper_cpp_coreml  # noqa: F401
+        from buzz.whisper_cpp import whisper_cpp  # noqa: F401
 
-        IS_COREML_SUPPORTED = True
-    except ImportError:
-        logging.exception("")
+        LOADED_WHISPER_CPP_BINARY = True
+
+    except ImportError as e:
+        logging.exception("whisper_cpp load error: %s", e)
 
 def append_segment(result, txt: bytes, start: int, end: int):
     if txt == b'':
@@ -45,14 +68,9 @@ def append_segment(result, txt: bytes, start: int, end: int):
 class WhisperCpp:
     def __init__(self, model: str) -> None:
 
-        self.is_coreml_supported = IS_COREML_SUPPORTED
+        self.is_vulkan_supported = IS_VULKAN_SUPPORTED
 
-        if self.is_coreml_supported:
-            coreml_model = model.replace(".bin", "-encoder.mlmodelc")
-            if not os.path.exists(coreml_model):
-                self.is_coreml_supported = False
-
-        logging.debug(f"WhisperCpp model {model}, (Core ML: {self.is_coreml_supported})")
+        logging.debug(f"WhisperCpp model {model}, Vulkan: {self.is_vulkan_supported})")
 
         self.instance = self.get_instance()
         self.ctx = self.instance.init_from_file(model)
@@ -120,8 +138,8 @@ class WhisperCpp:
         }
 
     def get_instance(self):
-        if self.is_coreml_supported:
-            return WhisperCppCoreML()
+        if self.is_vulkan_supported:
+            return WhisperCppVulkan()
         return WhisperCppCpu()
 
     def get_params(
@@ -130,7 +148,7 @@ class WhisperCpp:
         print_realtime=False,
         print_progress=False,
     ):
-        params = self.instance.full_default_params(whisper_cpp.WHISPER_SAMPLING_GREEDY)
+        params = self.instance.full_default_params(0)  # WHISPER_SAMPLING_GREEDY
         params.n_threads = int(os.getenv("BUZZ_WHISPERCPP_N_THREADS", (os.cpu_count() or 8)//2))
         params.print_realtime = print_realtime
         params.print_progress = print_progress
@@ -216,38 +234,41 @@ class WhisperCppCpu(WhisperCppInterface):
     def free(self, ctx):
         if ctx and whisper_cpp is not None:
             return whisper_cpp.whisper_free(ctx)
+        return None
 
 
-class WhisperCppCoreML(WhisperCppInterface):
+class WhisperCppVulkan(WhisperCppInterface):
     def full_default_params(self, sampling: int):
-        return whisper_cpp_coreml.whisper_full_default_params(sampling)
+        return whisper_cpp_vulkan.whisper_full_default_params(sampling)
 
     def get_string(self, string: str):
-        return whisper_cpp_coreml.String(string.encode())
+        return whisper_cpp_vulkan.String(string.encode())
 
     def get_encoder_begin_callback(self, callback):
-        return whisper_cpp_coreml.whisper_encoder_begin_callback(callback)
+        return whisper_cpp_vulkan.whisper_encoder_begin_callback(callback)
 
     def get_new_segment_callback(self, callback):
-        return whisper_cpp_coreml.whisper_new_segment_callback(callback)
+        return whisper_cpp_vulkan.whisper_new_segment_callback(callback)
 
     def init_from_file(self, model: str):
-        return whisper_cpp_coreml.whisper_init_from_file(model.encode())
+        return whisper_cpp_vulkan.whisper_init_from_file(model.encode())
 
     def full(self, ctx, params, audio, length):
-        return whisper_cpp_coreml.whisper_full(ctx, params, audio, length)
+        return whisper_cpp_vulkan.whisper_full(ctx, params, audio, length)
 
     def full_n_segments(self, ctx):
-        return whisper_cpp_coreml.whisper_full_n_segments(ctx)
+        return whisper_cpp_vulkan.whisper_full_n_segments(ctx)
 
     def full_get_segment_text(self, ctx, i):
-        return whisper_cpp_coreml.whisper_full_get_segment_text(ctx, i)
+        return whisper_cpp_vulkan.whisper_full_get_segment_text(ctx, i)
 
     def full_get_segment_t0(self, ctx, i):
-        return whisper_cpp_coreml.whisper_full_get_segment_t0(ctx, i)
+        return whisper_cpp_vulkan.whisper_full_get_segment_t0(ctx, i)
 
     def full_get_segment_t1(self, ctx, i):
-        return whisper_cpp_coreml.whisper_full_get_segment_t1(ctx, i)
+        return whisper_cpp_vulkan.whisper_full_get_segment_t1(ctx, i)
 
     def free(self, ctx):
-        return whisper_cpp_coreml.whisper_free(ctx)
+        if ctx and whisper_cpp_vulkan is not None:
+            return whisper_cpp_vulkan.whisper_free(ctx)
+        return None
\ No newline at end of file
diff --git a/buzz/transcriber/whisper_cpp_file_transcriber.py b/buzz/transcriber/whisper_cpp_file_transcriber.py
index 953a4ca6..f6e16402 100644
--- a/buzz/transcriber/whisper_cpp_file_transcriber.py
+++ b/buzz/transcriber/whisper_cpp_file_transcriber.py
@@ -1,6 +1,7 @@
 import ctypes
 import logging
 import sys
+import os
 from typing import Optional, List
 
 from PyQt6.QtCore import QObject
@@ -9,6 +10,7 @@ from buzz import whisper_audio
 from buzz.transcriber.file_transcriber import FileTranscriber
 from buzz.transcriber.transcriber import FileTranscriptionTask, Segment, Stopped
 from buzz.transcriber.whisper_cpp import WhisperCpp
+from buzz.transcriber.local_whisper_cpp_server_transcriber import LocalWhisperCppServerTranscriber
 
 
 class WhisperCppFileTranscriber(FileTranscriber):
@@ -25,7 +27,16 @@ class WhisperCppFileTranscriber(FileTranscriber):
 
         self.transcription_options = task.transcription_options
         self.model_path = task.model_path
-        self.model = WhisperCpp(model=self.model_path)
+        self.transcriber = None
+        self.model = None
+        is_windows = sys.platform == "win32"
+        force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
+
+        # As DLL mode on Windows is somewhat unreliable, will use local whisper-server
+        if is_windows and force_cpu == "false":
+            self.transcriber = LocalWhisperCppServerTranscriber(task, parent)
+        else:
+            self.model = WhisperCpp(model=self.model_path)
         self.state = self.State()
 
     def transcribe(self) -> List[Segment]:
@@ -41,32 +52,42 @@ class WhisperCppFileTranscriber(FileTranscriber):
             self.transcription_options.word_level_timings,
         )
 
-        audio = whisper_audio.load_audio(self.transcription_task.file_path)
-        self.duration_audio_ms = len(audio) * 1000 / whisper_audio.SAMPLE_RATE
+        if self.model:
+            audio = whisper_audio.load_audio(self.transcription_task.file_path)
+            self.duration_audio_ms = len(audio) * 1000 / whisper_audio.SAMPLE_RATE
 
-        whisper_params = self.model.get_params(
-            transcription_options=self.transcription_options
-        )
-        whisper_params.encoder_begin_callback_user_data = ctypes.c_void_p(
-            id(self.state)
-        )
-        whisper_params.encoder_begin_callback = (
-            self.model.get_instance().get_encoder_begin_callback(self.encoder_begin_callback)
-        )
-        whisper_params.new_segment_callback_user_data = ctypes.c_void_p(id(self.state))
-        whisper_params.new_segment_callback = self.model.get_instance().get_new_segment_callback(
-            self.new_segment_callback
-        )
+            whisper_params = self.model.get_params(
+                transcription_options=self.transcription_options
+            )
+            whisper_params.encoder_begin_callback_user_data = ctypes.c_void_p(
+                id(self.state)
+            )
+            whisper_params.encoder_begin_callback = (
+                self.model.get_instance().get_encoder_begin_callback(self.encoder_begin_callback)
+            )
+            whisper_params.new_segment_callback_user_data = ctypes.c_void_p(id(self.state))
+            whisper_params.new_segment_callback = self.model.get_instance().get_new_segment_callback(
+                self.new_segment_callback
+            )
 
-        result = self.model.transcribe(
-            audio=self.transcription_task.file_path, params=whisper_params
-        )
+            result = self.model.transcribe(
+                audio=self.transcription_task.file_path, params=whisper_params
+            )
+
+            if not self.state.running:
+                raise Stopped
+
+            self.state.running = False
+            return result["segments"]
+
+        # On Windows we use the local whisper server
+        if self.transcriber is not None:
+            return self.transcriber.transcribe()
 
         if not self.state.running:
             raise Stopped
 
-        self.state.running = False
-        return result["segments"]
+        return []
 
     def new_segment_callback(self, ctx, _state, _n_new, user_data):
         n_segments = self.model.get_instance().full_n_segments(ctx)
@@ -89,3 +110,9 @@ class WhisperCppFileTranscriber(FileTranscriber):
 
     def stop(self):
         self.state.running = False
+
+        if self.transcriber is not None:
+            self.transcriber.stop()
+
+    def __del__(self):
+        self.stop()
diff --git a/buzz/transcriber/whisper_file_transcriber.py b/buzz/transcriber/whisper_file_transcriber.py
index 47923b63..4663191c 100644
--- a/buzz/transcriber/whisper_file_transcriber.py
+++ b/buzz/transcriber/whisper_file_transcriber.py
@@ -46,6 +46,8 @@ class WhisperFileTranscriber(FileTranscriber):
         self.segments = []
         self.started_process = False
         self.stopped = False
+        self.recv_pipe = None
+        self.send_pipe = None
 
     def transcribe(self) -> List[Segment]:
         time_started = datetime.datetime.now()
@@ -56,24 +58,30 @@ class WhisperFileTranscriber(FileTranscriber):
         if torch.cuda.is_available():
             logging.debug(f"CUDA version detected: {torch.version.cuda}")
 
-        recv_pipe, send_pipe = multiprocessing.Pipe(duplex=False)
+        self.recv_pipe, self.send_pipe = multiprocessing.Pipe(duplex=False)
 
         self.current_process = multiprocessing.Process(
-            target=self.transcribe_whisper, args=(send_pipe, self.transcription_task)
+            target=self.transcribe_whisper, args=(self.send_pipe, self.transcription_task)
         )
         if not self.stopped:
             self.current_process.start()
             self.started_process = True
 
-        self.read_line_thread = Thread(target=self.read_line, args=(recv_pipe,))
+        self.read_line_thread = Thread(target=self.read_line, args=(self.recv_pipe,))
         self.read_line_thread.start()
 
         self.current_process.join()
 
         if self.current_process.exitcode != 0:
-            send_pipe.close()
+            self.send_pipe.close()
 
-        self.read_line_thread.join()
+        # Join read_line_thread with timeout to prevent hanging
+        if self.read_line_thread and self.read_line_thread.is_alive():
+            self.read_line_thread.join(timeout=3)
+            if self.read_line_thread.is_alive():
+                logging.warning("Read line thread didn't terminate gracefully in transcribe()")
+
+        self.started_process = False
 
         logging.debug(
             "whisper process completed with code = %s, time taken = %s,"
@@ -153,6 +161,10 @@ class WhisperFileTranscriber(FileTranscriber):
             logging.debug("Unsupported CUDA version (<12), using CPU")
             device = "cpu"
 
+        if not torch.cuda.is_available():
+            logging.debug("CUDA is not available, using CPU")
+            device = "cpu"
+
         if force_cpu != "false":
             device = "cpu"
 
@@ -168,7 +180,8 @@ class WhisperFileTranscriber(FileTranscriber):
             audio=task.file_path,
             language=task.transcription_options.language,
             task=task.transcription_options.task.value,
-            temperature=task.transcription_options.temperature,
+            # Prevent crash on Windows https://github.com/SYSTRAN/faster-whisper/issues/71#issuecomment-1526263764
+            temperature = 0 if platform.system() == "Windows" else task.transcription_options.temperature,
             initial_prompt=task.transcription_options.initial_prompt,
             word_timestamps=task.transcription_options.word_level_timings,
             no_speech_threshold=0.4,
@@ -249,8 +262,30 @@ class WhisperFileTranscriber(FileTranscriber):
 
     def stop(self):
         self.stopped = True
+
         if self.started_process:
             self.current_process.terminate()
+            # Use timeout to avoid hanging indefinitely
+            self.current_process.join(timeout=5)
+            if self.current_process.is_alive():
+                logging.warning("Process didn't terminate gracefully, force killing")
+                self.current_process.kill()
+                self.current_process.join(timeout=2)
+            
+            # Close pipes to unblock the read_line thread
+            try:
+                if hasattr(self, 'send_pipe'):
+                    self.send_pipe.close()
+                if hasattr(self, 'recv_pipe'):
+                    self.recv_pipe.close()
+            except Exception as e:
+                logging.debug(f"Error closing pipes: {e}")
+            
+            # Join read_line_thread with timeout to prevent hanging
+            if self.read_line_thread and self.read_line_thread.is_alive():
+                self.read_line_thread.join(timeout=3)
+                if self.read_line_thread.is_alive():
+                    logging.warning("Read line thread didn't terminate gracefully")
 
     def read_line(self, pipe: Connection):
         while True:
@@ -260,7 +295,10 @@ class WhisperFileTranscriber(FileTranscriber):
                 # Uncomment to debug
                 # print(f"*** DEBUG ***: {line}")
 
-            except EOFError:  # Connection closed
+            except (EOFError, BrokenPipeError, ConnectionResetError):  # Connection closed or broken
+                break
+            except Exception as e:
+                logging.debug(f"Error reading from pipe: {e}")
                 break
 
             if line == self.READ_LINE_THREAD_STOP_TOKEN:
diff --git a/buzz/transformers_whisper.py b/buzz/transformers_whisper.py
index 039dafa8..75f87284 100644
--- a/buzz/transformers_whisper.py
+++ b/buzz/transformers_whisper.py
@@ -17,7 +17,8 @@ class PipelineWithProgress(AutomaticSpeechRecognitionPipeline):  # pragma: no co
         inputs_len = inputs.shape[0]
         step = chunk_len - stride_left - stride_right
         for chunk_start_idx in range(0, inputs_len, step):
-            # Print progress to stderr
+
+            # Buzz will print progress to stderr
             progress = int((chunk_start_idx / inputs_len) * 100)
             sys.stderr.write(f"{progress}%\n")
 
@@ -27,8 +28,7 @@ class PipelineWithProgress(AutomaticSpeechRecognitionPipeline):  # pragma: no co
             if dtype is not None:
                 processed = processed.to(dtype=dtype)
             _stride_left = 0 if chunk_start_idx == 0 else stride_left
-            # all right strides must be full, otherwise it is the last item
-            is_last = chunk_end_idx > inputs_len if stride_right > 0 else chunk_end_idx >= inputs_len
+            is_last = chunk_end_idx >= inputs_len
             _stride_right = 0 if is_last else stride_right
 
             chunk_len = chunk.shape[0]
@@ -98,7 +98,7 @@ class PipelineWithProgress(AutomaticSpeechRecognitionPipeline):  # pragma: no co
                 # of the original length in the stride so we can cut properly.
                 stride = (inputs.shape[0], int(round(stride[0] * ratio)), int(round(stride[1] * ratio)))
         if not isinstance(inputs, np.ndarray):
-            raise ValueError(f"We expect a numpy ndarray as input, got `{type(inputs)}`")
+            raise TypeError(f"We expect a numpy ndarray as input, got `{type(inputs)}`")
         if len(inputs.shape) != 1:
             raise ValueError("We expect a single channel audio input for AutomaticSpeechRecognitionPipeline")
 
@@ -109,7 +109,7 @@ class PipelineWithProgress(AutomaticSpeechRecognitionPipeline):  # pragma: no co
             if isinstance(stride_length_s, (int, float)):
                 stride_length_s = [stride_length_s, stride_length_s]
 
-            # XXX: Carefuly, this variable will not exist in `seq2seq` setting.
+            # XXX: Carefully, this variable will not exist in `seq2seq` setting.
             # Currently chunking is not possible at this level for `seq2seq` so
             # it's ok.
             align_to = getattr(self.model.config, "inputs_to_logits_ratio", 1)
@@ -120,11 +120,11 @@ class PipelineWithProgress(AutomaticSpeechRecognitionPipeline):  # pragma: no co
             if chunk_len < stride_left + stride_right:
                 raise ValueError("Chunk length must be superior to stride length")
 
-            # Will use our custom chunk_iter with progress
+            # Buzz use our custom chunk_iter with progress
             for item in self.chunk_iter(
                 inputs, self.feature_extractor, chunk_len, stride_left, stride_right, self.torch_dtype
             ):
-                yield item
+                yield {**item, **extra}
         else:
             if self.type == "seq2seq_whisper" and inputs.shape[0] > self.feature_extractor.n_samples:
                 processed = self.feature_extractor(
@@ -133,12 +133,25 @@ class PipelineWithProgress(AutomaticSpeechRecognitionPipeline):  # pragma: no co
                     truncation=False,
                     padding="longest",
                     return_tensors="pt",
+                    return_attention_mask=True,
                 )
             else:
-                processed = self.feature_extractor(
-                    inputs, sampling_rate=self.feature_extractor.sampling_rate, return_tensors="pt"
-                )
-
+                if self.type == "seq2seq_whisper" and stride is None:
+                    processed = self.feature_extractor(
+                        inputs,
+                        sampling_rate=self.feature_extractor.sampling_rate,
+                        return_tensors="pt",
+                        return_token_timestamps=True,
+                        return_attention_mask=True,
+                    )
+                    extra["num_frames"] = processed.pop("num_frames")
+                else:
+                    processed = self.feature_extractor(
+                        inputs,
+                        sampling_rate=self.feature_extractor.sampling_rate,
+                        return_tensors="pt",
+                        return_attention_mask=True,
+                    )
             if self.torch_dtype is not None:
                 processed = processed.to(dtype=self.torch_dtype)
             if stride is not None:
@@ -193,7 +206,8 @@ class TransformersWhisper:
             chunk_length_s=30 if word_timestamps else None,
             torch_dtype=torch_dtype,
             device=device,
-        )
+            ignore_warning=True  # Ignore warning about chunk_length_s being experimental for seq2seq models
+         )
 
         transcript = pipe(
             audio,
diff --git a/buzz/widgets/main_window.py b/buzz/widgets/main_window.py
index 6a828d2f..ed471ec6 100644
--- a/buzz/widgets/main_window.py
+++ b/buzz/widgets/main_window.py
@@ -430,6 +430,8 @@ class MainWindow(QMainWindow):
         if self.transcription_viewer_widget is not None:
             self.transcription_viewer_widget.close()
 
+        logging.debug("Closing MainWindow")
+
         super().closeEvent(event)
 
     def save_geometry(self):
diff --git a/buzz/widgets/preferences_dialog/general_preferences_widget.py b/buzz/widgets/preferences_dialog/general_preferences_widget.py
index d723bcf3..78968b2a 100644
--- a/buzz/widgets/preferences_dialog/general_preferences_widget.py
+++ b/buzz/widgets/preferences_dialog/general_preferences_widget.py
@@ -187,7 +187,7 @@ class GeneralPreferencesWidget(QWidget):
     def on_click_test_openai_api_key_button(self):
         self.test_openai_api_key_button.setEnabled(False)
 
-        job = TestOpenAIApiKeyJob(api_key=self.openai_api_key)
+        job = ValidateOpenAIApiKeyJob(api_key=self.openai_api_key)
         job.signals.success.connect(self.on_test_openai_api_key_success)
         job.signals.failed.connect(self.on_test_openai_api_key_failure)
         job.setAutoDelete(True)
@@ -265,7 +265,7 @@ class GeneralPreferencesWidget(QWidget):
     def on_recording_transcriber_mode_changed(self, value):
         self.settings.set_value(Settings.Key.RECORDING_TRANSCRIBER_MODE, value)
 
-class TestOpenAIApiKeyJob(QRunnable):
+class ValidateOpenAIApiKeyJob(QRunnable):
     class Signals(QObject):
         success = pyqtSignal()
         failed = pyqtSignal(str)
diff --git a/buzz/widgets/recording_transcriber_widget.py b/buzz/widgets/recording_transcriber_widget.py
index 9753fb8d..b336121b 100644
--- a/buzz/widgets/recording_transcriber_widget.py
+++ b/buzz/widgets/recording_transcriber_widget.py
@@ -306,7 +306,9 @@ class RecordingTranscriberWidget(QWidget):
         self.reset_recording_controls()
         self.model_loader = None
 
-        if model_path == "":
+        if model_path == "" and self.transcription_options.model.model_type != ModelType.OPEN_AI_WHISPER_API:
+            self.on_transcriber_error("")
+            logging.error("Model path is empty, cannot start recording.")
             return
 
         self.transcription_thread = QThread()
diff --git a/dll_backup/Readme.md b/dll_backup/Readme.md
deleted file mode 100644
index ecb57e32..00000000
--- a/dll_backup/Readme.md
+++ /dev/null
@@ -1,6 +0,0 @@
-DLLs extracted from whisper.cpp release v1.6.2 
-https://github.com/ggerganov/whisper.cpp/actions/runs/9251036100
-https://github.com/ggerganov/whisper.cpp/commit/c7b6988678779901d02ceba1a8212d2c9908956e
-
-whisper.cpp submodule commit version should match the commit where the 
-whisper.dll are extracted from to ensure compatibility.
diff --git a/dll_backup/whisper.dll b/dll_backup/whisper.dll
deleted file mode 100644
index 633079d5..00000000
Binary files a/dll_backup/whisper.dll and /dev/null differ
diff --git a/dll_backup/win32/whisper.dll b/dll_backup/win32/whisper.dll
deleted file mode 100644
index 67b8871a..00000000
Binary files a/dll_backup/win32/whisper.dll and /dev/null differ
diff --git a/poetry.lock b/poetry.lock
index 3e8c4c99..264c706b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1181,7 +1181,6 @@ description = "Fast transfer of large files with the Hugging Face Hub."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
 files = [
     {file = "hf_xet-1.1.5-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:f52c2fa3635b8c37c7764d8796dfa72706cc4eded19d638331161e82b0792e23"},
     {file = "hf_xet-1.1.5-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:9fa6e3ee5d61912c4a113e0708eaaef987047616465ac7aa30f7121a48fc1af8"},
@@ -3427,6 +3426,21 @@ pytest = "*"
 dev = ["pre-commit", "tox"]
 doc = ["sphinx", "sphinx-rtd-theme"]
 
+[[package]]
+name = "pytest-timeout"
+version = "2.4.0"
+description = "pytest plugin to abort hanging tests"
+optional = false
+python-versions = ">=3.7"
+groups = ["dev"]
+files = [
+    {file = "pytest_timeout-2.4.0-py3-none-any.whl", hash = "sha256:c42667e5cdadb151aeb5b26d114aff6bdf5a907f176a007a30b940d3d865b5c2"},
+    {file = "pytest_timeout-2.4.0.tar.gz", hash = "sha256:7e68e90b01f9eff71332b25001f85c75495fc4e3a836701876183c4bcfd0540a"},
+]
+
+[package.dependencies]
+pytest = ">=7.0.0"
+
 [[package]]
 name = "pytest-xvfb"
 version = "2.0.0"
@@ -4790,6 +4804,21 @@ platformdirs = ">=3.9.1,<5"
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
 test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
 
+[[package]]
+name = "vulkan"
+version = "1.3.275.1"
+description = "Ultimate Python binding for Vulkan API"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "vulkan-1.3.275.1-py3-none-any.whl", hash = "sha256:e1e0ddf57d3a7d19f79ebf1e192b20dbd378172b027cad4f495d961b51409586"},
+    {file = "vulkan-1.3.275.1.tar.gz", hash = "sha256:5cf7961cb4a4e60d063eb815147c2289244575b75a4512089cc6e8a959b996d2"},
+]
+
+[package.dependencies]
+cffi = ">=1.10"
+
 [[package]]
 name = "wrapt"
 version = "1.17.2"
@@ -4925,4 +4954,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.9,<3.13"
-content-hash = "6fd00715df18f91cd02b7524a34897f408f686eab80fd77b2d8eefd4f2ce99ca"
+content-hash = "068de55b5f53b353c9ac9880a1d420f4187decbd547f8b2b871f3dc790a977c8"
diff --git a/pyproject.toml b/pyproject.toml
index 43d411d8..192e0044 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,12 +20,9 @@ packages = [
     { include = "buzz" },
 ]
 include = [
-    { path = "buzz/libwhisper.*", format = ["sdist", "wheel"] },
-    { path = "buzz/libwhisper-coreml.*", format = ["sdist", "wheel"] },
-    { path = "buzz/*.dll", format = ["sdist", "wheel"] },
-    { path = "buzz/whisper_cpp.py", format = ["sdist", "wheel"] },
+    { path = "buzz/whisper_cpp/*", format = ["sdist", "wheel"] },
+    { path = "buzz/whisper_cpp_vulkan/*", format = ["sdist", "wheel"] },
     { path = "buzz/locale/*/LC_MESSAGES/buzz.mo", format = ["sdist", "wheel"] },
-    { path = "buzz/dll_backup/*", format = ["sdist", "wheel"] },
 ]
 
 [[tool.poetry.source]]
@@ -80,6 +77,8 @@ urllib3 = "^2.3.0"
 demucs = {url = "https://github.com/raivisdejus/demucs/releases/download/4.1.0a3/demucs-4.1.0a3-py3-none-any.whl"}
 posthog = "^3.23.0"
 onnxruntime = "^1.18.0"
+vulkan = "^1.3.275.1"
+hf-xet = "^1.1.5"
 
 [tool.poetry.group.dev.dependencies]
 autopep8 = "^1.7.0"
@@ -91,6 +90,7 @@ pytest-cov = "^4.0.0"
 pytest-qt = "^4.1.0"
 pytest-xvfb = "^2.0.0"
 pytest-mock = "^3.12.0"
+pytest-timeout = "^2.4.0"
 pylint = "^2.15.5"
 pre-commit = "^2.20.0"
 pytest-benchmark = "^4.0.0"
diff --git a/pytest.ini b/pytest.ini
index 92443564..ad52348a 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -2,5 +2,8 @@
 log_cli = 1
 log_cli_level = DEBUG
 qt_api=pyqt6
-log_format = %(asctime)s %(levelname)s %(message)s
+log_format = %(asctime)s %(levelname)s %(module)s::%(funcName)s %(message)s
 log_date_format = %Y-%m-%d %H:%M:%S
+addopts = -x
+markers =
+    timeout: set a timeout on a test function.
\ No newline at end of file
diff --git a/snap/snapcraft.yaml b/snap/snapcraft.yaml
index e66fff30..de9a1d7c 100644
--- a/snap/snapcraft.yaml
+++ b/snap/snapcraft.yaml
@@ -1,5 +1,5 @@
 # Development notes:
-# - To build the snap run `snapcraft clean` and `snapcraft --debug --verbosity verbose`
+# - To build the snap run `snapcraft clean` and `snapcraft --verbose`
 # - To install local snap `snap install ./buzz_*.snap --dangerous`
 name: buzz
 base: core22
@@ -83,7 +83,12 @@ parts:
     plugin: python
     source: .
     build-packages:
+      - wget
       - portaudio19-dev
+      - qt6-declarative-dev
+      - qt6-multimedia-dev
+      - libvulkan-dev
+      - cmake
     stage-packages:
       # Audio
       - ffmpeg
@@ -100,8 +105,6 @@ parts:
       - libgstreamer1.0-0
       - libgstreamer-plugins-base1.0-0
       - libgstreamer-plugins-good1.0-0
-      - qt6-declarative-dev
-      - qt6-multimedia-dev
       # Display
       - libxkbcommon-x11-0
       - libxcb-icccm4
@@ -114,7 +117,20 @@ parts:
       - libxcb-cursor0
       # GPU
       - libglu1-mesa
+      - libvulkan1
+      - mesa-vulkan-drivers
+    python-packages:
+      - ctypesgen
+      - setuptools
+      - cmake
+      - polib
     override-build: |
+      # https://vulkan.lunarg.com/doc/view/latest/linux/getting_started_ubuntu.html      
+      wget -qO- https://packages.lunarg.com/lunarg-signing-key-pub.asc | tee /etc/apt/trusted.gpg.d/lunarg.asc
+      wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list http://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
+      apt update
+      apt install -y vulkan-sdk
+
       # Clear cache to save space on CI
       apt clean
       
@@ -122,39 +138,48 @@ parts:
       pip install poetry
       make translation_mo
       pip install .
-      pip uninstall -y ctranslate2
       pip uninstall -y torch torchaudio nvidia-cublas-cu12 nvidia-cuda-cupti-cu12 nvidia-cuda-nvrtc-cu12 nvidia-cuda-runtime-cu12 nvidia-cudnn-cu12 nvidia-cufft-cu12 nvidia-cufile-cu12 nvidia-curand-cu12 nvidia-cusolver-cu12 nvidia-cusparse-cu12 nvidia-cusparselt-cu12 nvidia-nccl-cu12 nvidia-nvjitlink-cu12 nvidia-nvtx-cu12 
       pip cache purge
       
-      pip install https://github.com/raivisdejus/CTranslate2-no-execstack/releases/download/v4.2.1/ctranslate2-4.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
       pip install -U torch==2.7.1+cu128 torchaudio==2.7.1+cu128 --index-url https://download.pytorch.org/whl/cu128
       pip cache purge
       pip install nvidia-cublas-cu12==12.8.3.14 nvidia-cuda-cupti-cu12==12.8.57 nvidia-cuda-nvrtc-cu12==12.8.61 --extra-index-url https://pypi.ngc.nvidia.com 
       pip cache purge
       pip install nvidia-cuda-runtime-cu12==12.8.57 nvidia-cudnn-cu12==9.7.1.26 nvidia-cufft-cu12==11.3.3.41 --extra-index-url https://pypi.ngc.nvidia.com
       pip cache purge
-      pip install nvidia-curand-cu12==10.3.9.55 nvidia-cusolver-cu12==11.7.2.55 nvidia-cusparse-cu12==12.5.4.2  --extra-index-url https://pypi.ngc.nvidia.com
+      pip install nvidia-curand-cu12==10.3.9.55 nvidia-cusolver-cu12==11.7.2.55 nvidia-cusparse-cu12==12.5.7.53  --extra-index-url https://pypi.ngc.nvidia.com
       pip cache purge
       pip install nvidia-cusparselt-cu12==0.6.3 nvidia-nvjitlink-cu12==12.8.61 nvidia-nvtx-cu12==12.8.55 --extra-index-url https://pypi.ngc.nvidia.com
       pip cache purge
       
       python3 build.py
       mkdir $CRAFT_PART_INSTALL/buzz
-      cp $CRAFT_PART_BUILD/buzz/whisper_cpp.py $CRAFT_PART_INSTALL/buzz/
-      cp $CRAFT_PART_BUILD/buzz/libwhisper.so $CRAFT_PART_INSTALL/buzz/
+      cp -r $CRAFT_PART_BUILD/buzz/whisper_cpp $CRAFT_PART_INSTALL/buzz/
+      cp -r $CRAFT_PART_BUILD/buzz/whisper_cpp_vulkan $CRAFT_PART_INSTALL/buzz/
+      
+      # Create desktop file
+      mkdir -p $CRAFT_PART_INSTALL/usr/share/applications
+      cp $CRAFT_PART_BUILD/buzz.desktop $CRAFT_PART_INSTALL/usr/share/applications/
     after: [ desktop-qt5 ]
-
-  desktop-file:
+  graphics-core22:
+    after: [ buzz ]
+    source: https://github.com/canonical/gpu-snap.git
     plugin: dump
-    source: .
-    organize:
-      buzz.desktop: usr/share/applications/buzz.desktop
-    # To prevent error of the same file having different permissions
+    override-prime: |
+      craftctl default
+      ${CRAFT_PART_SRC}/bin/graphics-core22-cleanup mesa-core22 nvidia-core22
     stage:
-      - -buzz/whisper_cpp.py
+      - ./*
+      - -venv/**
+    prime:
+      - ./*
+      - -venv/**
+      - bin/graphics-core22-wrapper
 
 apps:
   buzz:
+    command-chain:
+      - bin/graphics-core22-wrapper
     command: bin/desktop-launch python3 -m buzz
     desktop: usr/share/applications/buzz.desktop
     environment:
@@ -202,7 +227,19 @@ plugs:
     interface: content
     target: $SNAP/share/sounds
     default-provider: gtk-common-themes
+  graphics-core22:
+    interface: content
+    target: $SNAP/graphics
+    default-provider: mesa-core22
 
 layout:
   /usr/lib/$SNAPCRAFT_ARCH_TRIPLET/alsa-lib:
     bind: $SNAP/usr/lib/$SNAPCRAFT_ARCH_TRIPLET/alsa-lib
+  /usr/share/libdrm:
+    bind: $SNAP/graphics/libdrm
+  /usr/share/drirc.d:
+    symlink: $SNAP/graphics/drirc.d
+  /usr/share/X11/XErrorDB:
+    symlink: $SNAP/graphics/X11/XErrorDB
+  /usr/share/X11/locale:
+    symlink: $SNAP/graphics/X11/locale
diff --git a/tests/transcriber/file_transcriber_queue_worker_test.py b/tests/transcriber/file_transcriber_queue_worker_test.py
index d571a452..942d0911 100644
--- a/tests/transcriber/file_transcriber_queue_worker_test.py
+++ b/tests/transcriber/file_transcriber_queue_worker_test.py
@@ -2,12 +2,13 @@ import pytest
 import unittest.mock
 from PyQt6.QtCore import QCoreApplication, QThread
 from buzz.file_transcriber_queue_worker import FileTranscriberQueueWorker
-from buzz.model_loader import ModelType, TranscriptionModel
+from buzz.model_loader import ModelType, TranscriptionModel, WhisperModelSize
 from buzz.transcriber.transcriber import FileTranscriptionTask, TranscriptionOptions, FileTranscriptionOptions
 from buzz.transcriber.whisper_cpp_file_transcriber import WhisperCppFileTranscriber
 from tests.audio import test_multibyte_utf8_audio_path
 import time
 
+
 @pytest.fixture(scope="session")
 def qapp():
     app = QCoreApplication.instance()
@@ -16,6 +17,7 @@ def qapp():
     yield app
     app.quit()
 
+
 @pytest.fixture
 def worker(qapp):
     worker = FileTranscriberQueueWorker()
@@ -28,29 +30,27 @@ def worker(qapp):
     thread.quit()
     thread.wait()
 
-@pytest.fixture
-def audio_file():
-    # Use a small, existing audio file for testing
-    return test_multibyte_utf8_audio_path
 
-def test_transcription_with_whisper_cpp_tiny_no_speech_extraction(worker, audio_file):
+def test_transcription_with_whisper_cpp_tiny_no_speech_extraction(worker):
     options = TranscriptionOptions(
-        model=TranscriptionModel(model_type=ModelType.WHISPER_CPP, whisper_model_size="tiny"),
+        model=TranscriptionModel(model_type=ModelType.WHISPER_CPP, whisper_model_size=WhisperModelSize.TINY),
         extract_speech=False
     )
-    task = FileTranscriptionTask(file_path=str(audio_file), transcription_options=options, file_transcription_options=FileTranscriptionOptions(), model_path="mock_path")
+    task = FileTranscriptionTask(file_path=str(test_multibyte_utf8_audio_path), transcription_options=options,
+                                 file_transcription_options=FileTranscriptionOptions(), model_path="mock_path")
 
-    with unittest.mock.patch.object(WhisperCppFileTranscriber, 'run') as mock_run:
+    with unittest.mock.patch('buzz.transcriber.whisper_cpp_file_transcriber.LocalWhisperCppServerTranscriber'), \
+            unittest.mock.patch.object(WhisperCppFileTranscriber, 'run') as mock_run:
         mock_run.side_effect = lambda: worker.current_transcriber.completed.emit([
             {"start": 0, "end": 1000, "text": "Test transcription."}
         ])
-        
+
         completed_spy = unittest.mock.Mock()
         worker.task_completed.connect(completed_spy)
         worker.add_task(task)
 
         # Wait for the signal to be emitted
-        timeout = 5  # seconds
+        timeout = 10  # seconds
         start_time = time.time()
         while not completed_spy.called and (time.time() - start_time) < timeout:
             QCoreApplication.processEvents()
@@ -62,17 +62,19 @@ def test_transcription_with_whisper_cpp_tiny_no_speech_extraction(worker, audio_
         assert len(args[1]) > 0
         assert args[1][0]["text"] == "Test transcription."
 
-def test_transcription_with_whisper_cpp_tiny_with_speech_extraction(worker, audio_file):
+
+def test_transcription_with_whisper_cpp_tiny_with_speech_extraction(worker):
     options = TranscriptionOptions(
-        model=TranscriptionModel(model_type=ModelType.WHISPER_CPP, whisper_model_size="tiny"),
+        model=TranscriptionModel(model_type=ModelType.WHISPER_CPP, whisper_model_size=WhisperModelSize.TINY),
         extract_speech=True
     )
-    task = FileTranscriptionTask(file_path=str(audio_file), transcription_options=options, file_transcription_options=FileTranscriptionOptions(), model_path="mock_path")
-
-    with unittest.mock.patch('demucs.api.Separator') as mock_separator_class, \
-         unittest.mock.patch('demucs.api.save_audio') as mock_save_audio, \
-         unittest.mock.patch.object(WhisperCppFileTranscriber, 'run') as mock_run:
+    task = FileTranscriptionTask(file_path=str(test_multibyte_utf8_audio_path), transcription_options=options,
+                                 file_transcription_options=FileTranscriptionOptions(), model_path="mock_path")
 
+    with unittest.mock.patch('buzz.transcriber.whisper_cpp_file_transcriber.LocalWhisperCppServerTranscriber'), \
+            unittest.mock.patch('demucs.api.Separator') as mock_separator_class, \
+            unittest.mock.patch('demucs.api.save_audio') as mock_save_audio, \
+            unittest.mock.patch.object(WhisperCppFileTranscriber, 'run') as mock_run:
         # Mock demucs.api.Separator and save_audio
         mock_separator_instance = unittest.mock.Mock()
         mock_separator_instance.separate_audio_file.return_value = (None, {"vocals": "mock_vocals_data"})
@@ -88,7 +90,7 @@ def test_transcription_with_whisper_cpp_tiny_with_speech_extraction(worker, audi
         worker.add_task(task)
 
         # Wait for the signal to be emitted
-        timeout = 5  # seconds
+        timeout = 10  # seconds
         start_time = time.time()
         while not completed_spy.called and (time.time() - start_time) < timeout:
             QCoreApplication.processEvents()
@@ -100,4 +102,4 @@ def test_transcription_with_whisper_cpp_tiny_with_speech_extraction(worker, audi
         args, kwargs = completed_spy.call_args
         assert args[0] == task
         assert len(args[1]) > 0
-        assert args[1][0]["text"] == "Test transcription with speech extraction."
+        assert args[1][0]["text"] == "Test transcription with speech extraction."
\ No newline at end of file
diff --git a/tests/transcriber/recording_transcriber_test.py b/tests/transcriber/recording_transcriber_test.py
index ed538103..0ed26681 100644
--- a/tests/transcriber/recording_transcriber_test.py
+++ b/tests/transcriber/recording_transcriber_test.py
@@ -1,7 +1,12 @@
+import os
+import sys
+import time
 from unittest.mock import Mock, patch
 
 from PyQt6.QtCore import QThread
 
+from buzz.locale import _
+from buzz.assets import APP_BASE_DIR
 from buzz.model_loader import TranscriptionModel, ModelType, WhisperModelSize
 from buzz.transcriber.recording_transcriber import RecordingTranscriber
 from buzz.transcriber.transcriber import TranscriptionOptions, Task
@@ -21,6 +26,10 @@ class TestRecordingTranscriber:
 
             model_path = get_model_path(transcription_model)
 
+            model_exe_path = os.path.join(APP_BASE_DIR, "whisper-server.exe")
+            if sys.platform.startswith("win"):
+                assert os.path.exists(model_exe_path), f"{model_exe_path} does not exist"
+
             transcriber = RecordingTranscriber(
                 transcription_options=TranscriptionOptions(
                     model=transcription_model, language="fr", task=Task.TRANSCRIBE
@@ -34,17 +43,24 @@ class TestRecordingTranscriber:
 
             thread.started.connect(transcriber.start)
 
-            mock_transcription = Mock()
-            transcriber.transcription.connect(mock_transcription)
+            transcriptions = []
 
-            with qtbot.wait_signal(transcriber.transcription, timeout=60 * 1000):
-                thread.start()
+            def on_transcription(text):
+                transcriptions.append(text)
 
-            transcriber.stop_recording()
+            transcriber.transcription.connect(on_transcription)
 
-            text = mock_transcription.call_args[0][0]
-            assert "Bienvenue dans Passe" in text
+            thread.start()
+            qtbot.waitUntil(lambda: len(transcriptions) == 3, timeout=60_000)
+
+            # any string in any transcription
+            strings_to_check = [_("Starting Whisper.cpp..."), "Bienvenue dans Passe"]
+            assert any(s in t for s in strings_to_check for t in transcriptions)
 
             # Wait for the thread to finish
+            transcriber.stop_recording()
+            time.sleep(10)
+
             thread.quit()
             thread.wait()
+            time.sleep(3)
diff --git a/tests/transcriber/whisper_cpp_file_transcriber_test.py b/tests/transcriber/whisper_cpp_file_transcriber_test.py
index 9683ba0f..acbc7f88 100644
--- a/tests/transcriber/whisper_cpp_file_transcriber_test.py
+++ b/tests/transcriber/whisper_cpp_file_transcriber_test.py
@@ -1,5 +1,8 @@
+import os
+import time
 from typing import List
 from unittest.mock import Mock
+from pathlib import Path
 
 import pytest
 from pytestqt.qtbot import QtBot
@@ -31,8 +34,9 @@ class TestWhisperCppFileTranscriber:
     def test_transcribe(
         self, qtbot: QtBot, word_level_timings: bool, expected_segments: List[Segment]
     ):
+        os.environ["BUZZ_FORCE_CPU"] = "true"
         file_transcription_options = FileTranscriptionOptions(
-            file_paths=[test_audio_path]
+            file_paths=[str(Path(test_audio_path).resolve())]
         )
         transcription_options = TranscriptionOptions(
             language="fr",
@@ -47,7 +51,7 @@ class TestWhisperCppFileTranscriber:
         model_path = get_model_path(transcription_options.model)
         transcriber = WhisperCppFileTranscriber(
             task=FileTranscriptionTask(
-                file_path=test_audio_path,
+                file_path=str(Path(test_audio_path).resolve()),
                 transcription_options=transcription_options,
                 file_transcription_options=file_transcription_options,
                 model_path=model_path,
@@ -76,6 +80,9 @@ class TestWhisperCppFileTranscriber:
             assert expected_segment.end == segments[i].end
             assert expected_segment.text in segments[i].text
 
+        transcriber.stop()
+        time.sleep(3)
+
     @pytest.mark.parametrize(
         "word_level_timings,expected_segments",
         [
@@ -91,8 +98,9 @@ class TestWhisperCppFileTranscriber:
     def test_transcribe_latvian(
         self, qtbot: QtBot, word_level_timings: bool, expected_segments: List[Segment]
     ):
+        os.environ["BUZZ_FORCE_CPU"] = "true"
         file_transcription_options = FileTranscriptionOptions(
-            file_paths=[test_multibyte_utf8_audio_path]
+            file_paths=[str(Path(test_multibyte_utf8_audio_path).resolve())]
         )
         transcription_options = TranscriptionOptions(
             language="lv",
@@ -107,7 +115,7 @@ class TestWhisperCppFileTranscriber:
         model_path = get_model_path(transcription_options.model)
         transcriber = WhisperCppFileTranscriber(
             task=FileTranscriptionTask(
-                file_path=test_multibyte_utf8_audio_path,
+                file_path=str(Path(test_multibyte_utf8_audio_path).resolve()),
                 transcription_options=transcription_options,
                 file_transcription_options=file_transcription_options,
                 model_path=model_path,
@@ -135,3 +143,6 @@ class TestWhisperCppFileTranscriber:
             assert expected_segment.start == segments[i].start
             assert expected_segment.end == segments[i].end
             assert expected_segment.text in segments[i].text
+
+        transcriber.stop()
+        time.sleep(3)
\ No newline at end of file
diff --git a/tests/transcriber/whisper_file_transcriber_test.py b/tests/transcriber/whisper_file_transcriber_test.py
index d8fa8b60..94466c38 100644
--- a/tests/transcriber/whisper_file_transcriber_test.py
+++ b/tests/transcriber/whisper_file_transcriber_test.py
@@ -230,6 +230,9 @@ class TestWhisperFileTranscriber:
             assert len(segments[i].text) > 0
             logging.debug(f"{segments[i].start} {segments[i].end} {segments[i].text}")
 
+        transcriber.stop()
+        time.sleep(3)
+
     def test_transcribe_from_url(self, qtbot):
         url = (
             "https://github.com/chidiwilliams/buzz/raw/main/testdata/whisper-french.mp3"
@@ -270,6 +273,9 @@ class TestWhisperFileTranscriber:
             assert len(segments[i].text) > 0
             logging.debug(f"{segments[i].start} {segments[i].end} {segments[i].text}")
 
+        transcriber.stop()
+        time.sleep(3)
+
     def test_transcribe_from_folder_watch_source(self, qtbot):
         file_path = tempfile.mktemp(suffix=".mp3")
         shutil.copy(test_audio_path, file_path)
@@ -301,6 +307,9 @@ class TestWhisperFileTranscriber:
         )
         assert len(glob.glob("*.txt", root_dir=output_directory)) > 0
 
+        transcriber.stop()
+        time.sleep(3)
+
     @pytest.mark.skip()
     def test_transcribe_stop(self):
         output_file_path = os.path.join(tempfile.gettempdir(), "whisper.txt")
@@ -335,3 +344,5 @@ class TestWhisperFileTranscriber:
 
         # Assert that file was not created
         assert os.path.isfile(output_file_path) is False
+
+        time.sleep(3)
\ No newline at end of file
diff --git a/tests/widgets/main_window_test.py b/tests/widgets/main_window_test.py
index fc6bdd9d..00341927 100644
--- a/tests/widgets/main_window_test.py
+++ b/tests/widgets/main_window_test.py
@@ -1,3 +1,4 @@
+import logging
 import os
 from typing import List
 from unittest.mock import patch
@@ -95,6 +96,7 @@ class TestMainWindow:
 
         window.close()
 
+    @pytest.mark.timeout(300)
     def test_should_run_and_cancel_transcription_task(
         self, qtbot, db, transcription_service
     ):
@@ -105,19 +107,44 @@ class TestMainWindow:
 
         table_widget = self._get_tasks_table(window)
 
-        qtbot.wait_until(
-            self._get_assert_task_status_callback(table_widget, 0, "in_progress"),
-            timeout=2 * 60 * 1000,
-        )
+        try:
+            qtbot.wait_until(
+                self._get_assert_task_status_callback(table_widget, 0, "in_progress"),
+                timeout=60 * 1000,
+            )
+        except Exception:
+            logging.error("Task never reached 'in_progress' status")
+            assert False, "Task did not start as expected"
+
+        logging.debug("Will cancel transcription task")
 
-        # Stop task in progress
         table_widget.selectRow(0)
+        
+        # Force immediate processing of pending events before triggering cancellation
+        qtbot.wait(100)
+        
         window.toolbar.stop_transcription_action.trigger()
+        
+        # Give some time for the cancellation to be processed
+        qtbot.wait(500)
 
-        qtbot.wait_until(
-            self._get_assert_task_status_callback(table_widget, 0, "canceled"),
-            timeout=60 * 1000,
-        )
+        logging.debug("Will wait for task to reach 'canceled' status")
+
+        try:
+            qtbot.wait_until(
+                self._get_assert_task_status_callback(table_widget, 0, "canceled"),
+                timeout=30 * 1000,
+            )
+        except Exception:
+            # On Windows, the cancellation might be slower, check final state
+            final_status = self._get_status(table_widget, 0)
+            logging.error(f"Task status after timeout: {final_status}")
+            if "canceled" not in final_status.lower():
+                assert False, f"Task did not cancel as expected. Final status: {final_status}"
+
+        logging.debug("Task canceled")
+
+        qtbot.wait(200)
 
         table_widget.selectRow(0)
         assert window.toolbar.stop_transcription_action.isEnabled() is False
diff --git a/tests/widgets/preferences_dialog/general_preferences_widget_test.py b/tests/widgets/preferences_dialog/general_preferences_widget_test.py
index 82527367..d3eb5f1a 100644
--- a/tests/widgets/preferences_dialog/general_preferences_widget_test.py
+++ b/tests/widgets/preferences_dialog/general_preferences_widget_test.py
@@ -4,7 +4,7 @@ from PyQt6.QtWidgets import QPushButton, QMessageBox, QLineEdit, QCheckBox
 from buzz.locale import _
 from buzz.settings.settings import Settings
 from buzz.widgets.preferences_dialog.general_preferences_widget import (
-    GeneralPreferencesWidget, TestOpenAIApiKeyJob
+    GeneralPreferencesWidget, ValidateOpenAIApiKeyJob
 )
 
 
@@ -118,7 +118,7 @@ class TestTestOpenAIApiKeyJob:
         mocker.patch('buzz.widgets.preferences_dialog.general_preferences_widget.OpenAI', return_value=mock_client)
         mocker.patch('buzz.settings.settings.Settings.value', return_value="") # No custom base URL
 
-        job = TestOpenAIApiKeyJob(api_key="test_key")
+        job = ValidateOpenAIApiKeyJob(api_key="test_key")
         mock_success = mocker.Mock()
         mock_failed = mocker.Mock()
         job.signals.success.connect(mock_success)
@@ -140,7 +140,7 @@ class TestTestOpenAIApiKeyJob:
         mocker.patch('buzz.widgets.preferences_dialog.general_preferences_widget.OpenAI', return_value=mock_client)
         mocker.patch('buzz.settings.settings.Settings.value', return_value="") # No custom base URL
 
-        job = TestOpenAIApiKeyJob(api_key="wrong_key")
+        job = ValidateOpenAIApiKeyJob(api_key="wrong_key")
         mock_success = mocker.Mock()
         mock_failed = mocker.Mock()
         job.signals.success.connect(mock_success)
diff --git a/tests/widgets/recording_transcriber_widget_test.py b/tests/widgets/recording_transcriber_widget_test.py
index e32fd4fc..860f91c1 100644
--- a/tests/widgets/recording_transcriber_widget_test.py
+++ b/tests/widgets/recording_transcriber_widget_test.py
@@ -111,6 +111,7 @@ class TestRecordingTranscriberWidget:
 
             widget.close()
 
+    @pytest.mark.timeout(60)
     def test_on_next_transcription_append_above(self, qtbot: QtBot):
         with (patch("sounddevice.InputStream", side_effect=MockInputStream),
               patch("buzz.transcriber.recording_transcriber.RecordingTranscriber.get_device_sample_rate",
@@ -129,7 +130,7 @@ class TestRecordingTranscriberWidget:
             widget.on_next_transcription('test2')
             assert widget.transcription_text_box.toPlainText() == 'test2\n\ntest1\n\n'
 
-            qtbot.wait(200)
+            qtbot.wait(500)
 
             widget.close()
 
@@ -161,6 +162,7 @@ class TestRecordingTranscriberWidget:
         assert RecordingTranscriberWidget.find_common_part("hello world", "") == ""
         assert RecordingTranscriberWidget.find_common_part("", "") == ""
 
+    @pytest.mark.timeout(60)
     def test_on_next_transcription_append_and_correct(self, qtbot: QtBot):
         with (patch("sounddevice.InputStream", side_effect=MockInputStream),
               patch("buzz.transcriber.recording_transcriber.RecordingTranscriber.get_device_sample_rate",
@@ -182,6 +184,6 @@ class TestRecordingTranscriberWidget:
             widget.on_next_transcription('Ceci est la deuxième phrase. Et voici la troisième.')
             assert widget.transcription_text_box.toPlainText() == 'Bienvenue dans la transcription en direct de Buzz. Ceci est la deuxième phrase. Et voici la troisième.'
 
-            qtbot.wait(200)
+            qtbot.wait(500)
 
             widget.close()
diff --git a/whisper.cpp b/whisper.cpp
index c7b69886..a8d002cf 160000
--- a/whisper.cpp
+++ b/whisper.cpp
@@ -1 +1 @@
-Subproject commit c7b6988678779901d02ceba1a8212d2c9908956e
+Subproject commit a8d002cfd879315632a579e73f0148d06959de36