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Add VAD and keyword spotting for the Node package with WebAssembly (#…
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#!/usr/bin/env bash | ||
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find flutter -name *.yaml -type f -exec sed -i.bak 's/1\.10\.22/1\.10\.23/g' {} \; | ||
find dart-api-examples -name *.yaml -type f -exec sed -i.bak 's/1\.10\.22/1\.10\.23/g' {} \; | ||
find flutter-examples -name *.yaml -type f -exec sed -i.bak 's/1\.10\.22/1\.10\.23/g' {} \; | ||
find flutter -name *.podspec -type f -exec sed -i.bak 's/1\.10\.22/1\.10\.23/g' {} \; | ||
find nodejs-addon-examples -name package.json -type f -exec sed -i.bak 's/1\.10\.22/1\.10\.23/g' {} \; |
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Original file line number | Diff line number | Diff line change |
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{ | ||
"dependencies": { | ||
"sherpa-onnx-node": "^1.10.22" | ||
"sherpa-onnx-node": "^1.10.23" | ||
} | ||
} |
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Original file line number | Diff line number | Diff line change |
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// Copyright (c) 2024 Xiaomi Corporation | ||
const sherpa_onnx = require('sherpa-onnx'); | ||
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function createKeywordSpotter() { | ||
// Please download test files from | ||
// https://github.com/k2-fsa/sherpa-onnx/releases/tag/kws-models | ||
const config = { | ||
'modelConfig': { | ||
'transducer': { | ||
'encoder': | ||
'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/encoder-epoch-12-avg-2-chunk-16-left-64.onnx', | ||
'decoder': | ||
'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/decoder-epoch-12-avg-2-chunk-16-left-64.onnx', | ||
'joiner': | ||
'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/joiner-epoch-12-avg-2-chunk-16-left-64.onnx', | ||
}, | ||
'tokens': | ||
'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/tokens.txt', | ||
}, | ||
keywords: 'w én s ēn t è k ǎ s uǒ @文森特卡索\n' + | ||
'f ǎ g uó @法国' | ||
}; | ||
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return sherpa_onnx.createKws(config); | ||
} | ||
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const kws = createKeywordSpotter(); | ||
const stream = kws.createStream(); | ||
const waveFilename = | ||
'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/3.wav'; | ||
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const wave = sherpa_onnx.readWave(waveFilename); | ||
stream.acceptWaveform(wave.sampleRate, wave.samples); | ||
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const tailPadding = new Float32Array(wave.sampleRate * 0.4); | ||
stream.acceptWaveform(kws.config.featConfig.sampleRate, tailPadding); | ||
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const detectedKeywords = []; | ||
while (kws.isReady(stream)) { | ||
kws.decode(stream); | ||
const keyword = kws.getResult(stream).keyword; | ||
if (keyword != '') { | ||
detectedKeywords.push(keyword); | ||
} | ||
} | ||
console.log(detectedKeywords); | ||
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stream.free(); | ||
kws.free(); |
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