I am thrilled to share that we have new collaborators from Pleap who are going to be sharing in the development work for this project. We are also starting a Discord server for users and contributors alike. We would love to have additional collaborators - if you are interested, please write us on Discord!
This package aims to provide an accurate, user-friendly voice activity detector (VAD) that runs in the browser. It also has limited support for node. Currently, it runs Silero VAD [1] using ONNX Runtime Web / ONNX Runtime Node.js.
For documentation and a demo, visit vad.ricky0123.com.
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/dist/ort.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@ricky0123/[email protected]/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)...
}
})
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 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, [email protected].