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JavaScript API (node-addon) for speaker diarization (#1408)
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// Copyright (c) 2024 Xiaomi Corporation | ||
const sherpa_onnx = require('sherpa-onnx-node'); | ||
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// clang-format off | ||
/* Please use the following commands to download files | ||
used in this script | ||
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2 | ||
tar xvf sherpa-onnx-pyannote-segmentation-3-0.tar.bz2 | ||
rm sherpa-onnx-pyannote-segmentation-3-0.tar.bz2 | ||
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx | ||
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/0-four-speakers-zh.wav | ||
*/ | ||
// clang-format on | ||
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const config = { | ||
segmentation: { | ||
pyannote: { | ||
model: './sherpa-onnx-pyannote-segmentation-3-0/model.onnx', | ||
}, | ||
}, | ||
embedding: { | ||
model: './3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx', | ||
}, | ||
clustering: { | ||
// since we know that the test wave file | ||
// ./0-four-speakers-zh.wav contains 4 speakers, we use 4 for numClusters | ||
// here. if you don't have such information, please set numClusters to -1 | ||
numClusters: 4, | ||
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// If numClusters is not -1, then threshold is ignored. | ||
// | ||
// A larger threshold leads to fewer clusters, i.e., fewer speakers | ||
// A smaller threshold leads to more clusters, i.e., more speakers | ||
// You need to tune it by yourself. | ||
threshold: 0.5, | ||
}, | ||
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// If a segment is shorter than minDurationOn, we discard it | ||
minDurationOn: 0.2, // in seconds | ||
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// If the gap between two segments is less than minDurationOff, then we | ||
// merge these two segments into a single one | ||
minDurationOff: 0.5, // in seconds | ||
}; | ||
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const waveFilename = './0-four-speakers-zh.wav'; | ||
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const sd = new sherpa_onnx.OfflineSpeakerDiarization(config); | ||
console.log('Started') | ||
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const wave = sherpa_onnx.readWave(waveFilename); | ||
if (sd.sampleRate != wave.sampleRate) { | ||
throw new Error( | ||
`Expected sample rate: ${sd.sampleRate}, given: ${wave.sampleRate}`); | ||
} | ||
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const segments = sd.process(wave.samples); | ||
console.log(segments); |
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32 changes: 32 additions & 0 deletions
32
scripts/node-addon-api/lib/non-streaming-speaker-diarization.js
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const addon = require('./addon.js'); | ||
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class OfflineSpeakerDiarization { | ||
constructor(config) { | ||
this.handle = addon.createOfflineSpeakerDiarization(config); | ||
this.config = config; | ||
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this.sampleRate = addon.getOfflineSpeakerDiarizationSampleRate(this.handle); | ||
} | ||
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/** | ||
* samples is a 1-d float32 array. Each element of the array should be | ||
* in the range [-1, 1]. | ||
* | ||
* We assume its sample rate equals to this.sampleRate. | ||
* | ||
* Returns an array of object, where an object is | ||
* | ||
* { | ||
* "start": start_time_in_seconds, | ||
* "end": end_time_in_seconds, | ||
* "speaker": an_integer, | ||
* } | ||
*/ | ||
process(samples) { | ||
return addon.offlineSpeakerDiarizationProcess(this.handle, samples); | ||
} | ||
} | ||
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module.exports = { | ||
OfflineSpeakerDiarization, | ||
} |
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