Voice activity detector (VAD) for the browser with a simple API
See the codeRun callbacks on segments of audio with user speech in a few lines of code
This package aims to provide an accurate, user-friendly voice activity detector (VAD) that runs in the browser. By using this package, you can prompt the user for microphone permissions, start recording audio, send segments of audio with speech to your server for processing, or show an animation or indicator when the user is speaking.
Links:
Under the hood, these packages run Silero VAD [1] using ONNX Runtime Web / ONNX Runtime Node.js. Thanks a lot to them for making this possible.
Please consider sponsoring this project if you have found it useful!
To use the VAD via a script tag in the browser, include the following script tags:
<script src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.22.0/dist/ort.wasm.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@ricky0123/vad-web@0.0.31/dist/bundle.min.js"></script>
<script>
async function main() {
const myvad = await vad.MicVAD.new({
onSpeechStart: () => {
console.log("Speech start detected")
},
onSpeechEnd: (audio) => {
// do something with `audio` (Float32Array of audio samples at sample rate 16000)...
},
onnxWASMBasePath:
"https://cdn.jsdelivr.net/npm/onnxruntime-web@1.22.0/dist/",
baseAssetPath:
"https://cdn.jsdelivr.net/npm/@ricky0123/vad-web@0.0.31/dist/",
})
myvad.start()
}
main()
</script>
Documentation for bundling the voice activity detector for the browser or using it in node or React projects can be found on docs.vad.ricky0123.com.
[1] Silero Team. (2021). Silero VAD: pre-trained enterprise-grade Voice Activity Detector (VAD), Number Detector and Language Classifier. GitHub, GitHub repository, https://github.com/snakers4/silero-vad, hello@silero.ai.
13,150 followers · starred Feb 2025
13,375 followers · starred Jul 2024
480 followers · starred Feb 2026
2,178 followers · starred Jul 2024
TypeScript
72.9%
JavaScript
18.4%
HTML
6.0%
Shell
2.7%
Voice activity detector (VAD) for the browser with a simple API
See the codeRun callbacks on segments of audio with user speech in a few lines of code
This package aims to provide an accurate, user-friendly voice activity detector (VAD) that runs in the browser. By using this package, you can prompt the user for microphone permissions, start recording audio, send segments of audio with speech to your server for processing, or show an animation or indicator when the user is speaking.
Links:
Under the hood, these packages run Silero VAD [1] using ONNX Runtime Web / ONNX Runtime Node.js. Thanks a lot to them for making this possible.
Please consider sponsoring this project if you have found it useful!
To use the VAD via a script tag in the browser, include the following script tags:
<script src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.22.0/dist/ort.wasm.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@ricky0123/vad-web@0.0.31/dist/bundle.min.js"></script>
<script>
async function main() {
const myvad = await vad.MicVAD.new({
onSpeechStart: () => {
console.log("Speech start detected")
},
onSpeechEnd: (audio) => {
// do something with `audio` (Float32Array of audio samples at sample rate 16000)...
},
onnxWASMBasePath:
"https://cdn.jsdelivr.net/npm/onnxruntime-web@1.22.0/dist/",
baseAssetPath:
"https://cdn.jsdelivr.net/npm/@ricky0123/vad-web@0.0.31/dist/",
})
myvad.start()
}
main()
</script>
Documentation for bundling the voice activity detector for the browser or using it in node or React projects can be found on docs.vad.ricky0123.com.
[1] Silero Team. (2021). Silero VAD: pre-trained enterprise-grade Voice Activity Detector (VAD), Number Detector and Language Classifier. GitHub, GitHub repository, https://github.com/snakers4/silero-vad, hello@silero.ai.
13,150 followers · starred Feb 2025
13,375 followers · starred Jul 2024
480 followers · starred Feb 2026
2,178 followers · starred Jul 2024
TypeScript
72.9%
JavaScript
18.4%
HTML
6.0%
Shell
2.7%