# whisper.cpp Node.js addon This is an addon demo that can **perform whisper model reasoning in `node` and `electron` environments**, based on [cmake-js](https://github.com/cmake-js/cmake-js). It can be used as a reference for using the whisper.cpp project in other node projects. This addon now supports **Voice Activity Detection (VAD)** for improved transcription performance. ## Install ```shell npm install ``` ## Compile Make sure it is in the project root directory and compiled with make-js. ```shell npx cmake-js compile -T addon.node -B Release ``` For Electron addon and cmake-js options, you can see [cmake-js](https://github.com/cmake-js/cmake-js) and make very few configuration changes. > Such as appointing special cmake path: > ```shell > npx cmake-js compile -c 'xxx/cmake' -T addon.node -B Release > ``` ## Run ### Basic Usage ```shell cd examples/addon.node node index.js --language='language' --model='model-path' --fname_inp='file-path' ``` ### VAD (Voice Activity Detection) Usage Run the VAD example with performance comparison: ```shell node vad-example.js ``` ## Voice Activity Detection (VAD) Support VAD can significantly improve transcription performance by only processing speech segments, which is especially beneficial for audio files with long periods of silence. ### VAD Model Setup Before using VAD, download a VAD model: ```shell # From the whisper.cpp root directory ./models/download-vad-model.sh silero-v5.1.2 ``` ### VAD Parameters All VAD parameters are optional and have sensible defaults: - `vad`: Enable VAD (default: false) - `vad_model`: Path to VAD model file (required when VAD enabled) - `vad_threshold`: Speech detection threshold 0.0-1.0 (default: 0.5) - `vad_min_speech_duration_ms`: Min speech duration in ms (default: 250) - `vad_min_silence_duration_ms`: Min silence duration in ms (default: 100) - `vad_max_speech_duration_s`: Max speech duration in seconds (default: FLT_MAX) - `vad_speech_pad_ms`: Speech padding in ms (default: 30) - `vad_samples_overlap`: Sample overlap 0.0-1.0 (default: 0.1) ### JavaScript API Example ```javascript const path = require("path"); const { whisper } = require(path.join(__dirname, "../../build/Release/addon.node")); const { promisify } = require("util"); const whisperAsync = promisify(whisper); // With VAD enabled const vadParams = { language: "en", model: path.join(__dirname, "../../models/ggml-base.en.bin"), fname_inp: path.join(__dirname, "../../samples/jfk.wav"), vad: true, vad_model: path.join(__dirname, "../../models/ggml-silero-v5.1.2.bin"), vad_threshold: 0.5, progress_callback: (progress) => console.log(`Progress: ${progress}%`) }; whisperAsync(vadParams).then(result => console.log(result)); ``` ## Supported Parameters Both traditional whisper.cpp parameters and new VAD parameters are supported: - `language`: Language code (e.g., "en", "es", "fr") - `model`: Path to whisper model file - `fname_inp`: Path to input audio file - `use_gpu`: Enable GPU acceleration (default: true) - `flash_attn`: Enable flash attention (default: false) - `no_prints`: Disable console output (default: false) - `no_timestamps`: Disable timestamps (default: false) - `detect_language`: Auto-detect language (default: false) - `audio_ctx`: Audio context size (default: 0) - `max_len`: Maximum segment length (default: 0) - `max_context`: Maximum context size (default: -1) - `prompt`: Initial prompt for decoder - `comma_in_time`: Use comma in timestamps (default: true) - `print_progress`: Print progress info (default: false) - `progress_callback`: Progress callback function - VAD parameters (see above section)