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Add JavaScript API for SenseVoice (#1157)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,5 +1,5 @@ | ||
| { | ||
| "dependencies": { | ||
| "sherpa-onnx-node": "^1.0.30" | ||
| "sherpa-onnx-node": "^1.10.17" | ||
| } | ||
| } |
48 changes: 48 additions & 0 deletions
48
nodejs-addon-examples/test_asr_non_streaming_sense_voice.js
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,48 @@ | ||
| // Copyright (c) 2024 Xiaomi Corporation | ||
| const sherpa_onnx = require('sherpa-onnx-node'); | ||
|
|
||
| // Please download test files from | ||
| // https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models | ||
| const config = { | ||
| 'featConfig': { | ||
| 'sampleRate': 16000, | ||
| 'featureDim': 80, | ||
| }, | ||
| 'modelConfig': { | ||
| 'senseVoice': { | ||
| 'model': | ||
| './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx', | ||
| 'useInverseTextNormalization': 1, | ||
| }, | ||
| 'tokens': './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt', | ||
| 'numThreads': 2, | ||
| 'provider': 'cpu', | ||
| 'debug': 1, | ||
| } | ||
| }; | ||
|
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| const waveFilename = | ||
| './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/test_wavs/zh.wav'; | ||
|
|
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| const recognizer = new sherpa_onnx.OfflineRecognizer(config); | ||
| console.log('Started') | ||
| let start = Date.now(); | ||
| const stream = recognizer.createStream(); | ||
| const wave = sherpa_onnx.readWave(waveFilename); | ||
| stream.acceptWaveform({sampleRate: wave.sampleRate, samples: wave.samples}); | ||
|
|
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| recognizer.decode(stream); | ||
| result = recognizer.getResult(stream) | ||
| let stop = Date.now(); | ||
| console.log('Done') | ||
|
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| const elapsed_seconds = (stop - start) / 1000; | ||
| const duration = wave.samples.length / wave.sampleRate; | ||
| const real_time_factor = elapsed_seconds / duration; | ||
| console.log('Wave duration', duration.toFixed(3), 'secodns') | ||
| console.log('Elapsed', elapsed_seconds.toFixed(3), 'secodns') | ||
| console.log( | ||
| `RTF = ${elapsed_seconds.toFixed(3)}/${duration.toFixed(3)} =`, | ||
| real_time_factor.toFixed(3)) | ||
| console.log(waveFilename) | ||
| console.log('result\n', result) |
111 changes: 111 additions & 0 deletions
111
nodejs-addon-examples/test_vad_asr_non_streaming_sense_voice_microphone.js
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,111 @@ | ||
| // Copyright (c) 2023-2024 Xiaomi Corporation (authors: Fangjun Kuang) | ||
| // | ||
| const portAudio = require('naudiodon2'); | ||
| // console.log(portAudio.getDevices()); | ||
|
|
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| const sherpa_onnx = require('sherpa-onnx-node'); | ||
|
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| function createRecognizer() { | ||
| // Please download test files from | ||
| // https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models | ||
| const config = { | ||
| 'featConfig': { | ||
| 'sampleRate': 16000, | ||
| 'featureDim': 80, | ||
| }, | ||
| 'modelConfig': { | ||
| 'senseVoice': { | ||
| 'model': | ||
| './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx', | ||
| 'useInverseTextNormalization': 1, | ||
| }, | ||
| 'tokens': | ||
| './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt', | ||
| 'numThreads': 2, | ||
| 'provider': 'cpu', | ||
| 'debug': 1, | ||
| } | ||
| }; | ||
|
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| return new sherpa_onnx.OfflineRecognizer(config); | ||
| } | ||
|
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| function createVad() { | ||
| // please download silero_vad.onnx from | ||
| // https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx | ||
| const config = { | ||
| sileroVad: { | ||
| model: './silero_vad.onnx', | ||
| threshold: 0.5, | ||
| minSpeechDuration: 0.25, | ||
| minSilenceDuration: 0.5, | ||
| windowSize: 512, | ||
| }, | ||
| sampleRate: 16000, | ||
| debug: true, | ||
| numThreads: 1, | ||
| }; | ||
|
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| const bufferSizeInSeconds = 60; | ||
|
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| return new sherpa_onnx.Vad(config, bufferSizeInSeconds); | ||
| } | ||
|
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| const recognizer = createRecognizer(); | ||
| const vad = createVad(); | ||
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| const bufferSizeInSeconds = 30; | ||
| const buffer = | ||
| new sherpa_onnx.CircularBuffer(bufferSizeInSeconds * vad.config.sampleRate); | ||
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| const ai = new portAudio.AudioIO({ | ||
| inOptions: { | ||
| channelCount: 1, | ||
| closeOnError: true, // Close the stream if an audio error is detected, if | ||
| // set false then just log the error | ||
| deviceId: -1, // Use -1 or omit the deviceId to select the default device | ||
| sampleFormat: portAudio.SampleFormatFloat32, | ||
| sampleRate: vad.config.sampleRate | ||
| } | ||
| }); | ||
|
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| let printed = false; | ||
| let index = 0; | ||
| ai.on('data', data => { | ||
| const windowSize = vad.config.sileroVad.windowSize; | ||
| buffer.push(new Float32Array(data.buffer)); | ||
| while (buffer.size() > windowSize) { | ||
| const samples = buffer.get(buffer.head(), windowSize); | ||
| buffer.pop(windowSize); | ||
| vad.acceptWaveform(samples); | ||
| } | ||
|
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| while (!vad.isEmpty()) { | ||
| const segment = vad.front(); | ||
| vad.pop(); | ||
| const stream = recognizer.createStream(); | ||
| stream.acceptWaveform({ | ||
| samples: segment.samples, | ||
| sampleRate: recognizer.config.featConfig.sampleRate | ||
| }); | ||
| recognizer.decode(stream); | ||
| const r = recognizer.getResult(stream); | ||
| if (r.text.length > 0) { | ||
| const text = r.text.toLowerCase().trim(); | ||
| console.log(`${index}: ${text}`); | ||
|
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| const filename = `${index}-${text}-${ | ||
| new Date() | ||
| .toLocaleTimeString('en-US', {hour12: false}) | ||
| .split(' ')[0]}.wav`; | ||
| sherpa_onnx.writeWave( | ||
| filename, | ||
| {samples: segment.samples, sampleRate: vad.config.sampleRate}); | ||
|
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| index += 1; | ||
| } | ||
| } | ||
| }); | ||
|
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| ai.start(); | ||
| console.log('Started! Please speak') |
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