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Add streaming CTC ASR APIs for node-addon-api (#867)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,55 @@ | ||
| // Copyright (c) 2024 Xiaomi Corporation | ||
| const sherpa_onnx = require('sherpa-onnx-node'); | ||
| const performance = require('perf_hooks').performance; | ||
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| // Please download test files from | ||
| // https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models | ||
| const config = { | ||
| 'featConfig': { | ||
| 'sampleRate': 16000, | ||
| 'featureDim': 80, | ||
| }, | ||
| 'modelConfig': { | ||
| 'zipformer2Ctc': { | ||
| 'model': | ||
| './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/ctc-epoch-30-avg-3-chunk-16-left-128.int8.onnx', | ||
| }, | ||
| 'tokens': | ||
| './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/tokens.txt', | ||
| 'numThreads': 2, | ||
| 'provider': 'cpu', | ||
| 'debug': 1, | ||
| } | ||
| }; | ||
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| const waveFilename = | ||
| './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/test_wavs/0.wav'; | ||
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| const recognizer = new sherpa_onnx.OnlineRecognizer(config); | ||
| console.log('Started') | ||
| let start = performance.now(); | ||
| const stream = recognizer.createStream(); | ||
| const wave = sherpa_onnx.readWave(waveFilename); | ||
| stream.acceptWaveform({sampleRate: wave.sampleRate, samples: wave.samples}); | ||
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| const tailPadding = new Float32Array(wave.sampleRate * 0.4); | ||
| stream.acceptWaveform({samples: tailPadding, sampleRate: wave.sampleRate}); | ||
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| while (recognizer.isReady(stream)) { | ||
| recognizer.decode(stream); | ||
| } | ||
| result = recognizer.getResult(stream) | ||
| let stop = performance.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) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,58 @@ | ||
| // Copyright (c) 2024 Xiaomi Corporation | ||
| const sherpa_onnx = require('sherpa-onnx-node'); | ||
| const performance = require('perf_hooks').performance; | ||
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| // Please download test files from | ||
| // https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models | ||
| const config = { | ||
| 'featConfig': { | ||
| 'sampleRate': 16000, | ||
| 'featureDim': 80, | ||
| }, | ||
| 'modelConfig': { | ||
| 'zipformer2Ctc': { | ||
| 'model': | ||
| './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/ctc-epoch-30-avg-3-chunk-16-left-128.int8.onnx', | ||
| }, | ||
| 'tokens': | ||
| './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/tokens.txt', | ||
| 'numThreads': 2, | ||
| 'provider': 'cpu', | ||
| 'debug': 1, | ||
| }, | ||
| 'ctcFstDecoderConfig': { | ||
| 'graph': './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/HLG.fst', | ||
| }, | ||
| }; | ||
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| const waveFilename = | ||
| './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/test_wavs/1.wav'; | ||
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| const recognizer = new sherpa_onnx.OnlineRecognizer(config); | ||
| console.log('Started') | ||
| let start = performance.now(); | ||
| const stream = recognizer.createStream(); | ||
| const wave = sherpa_onnx.readWave(waveFilename); | ||
| stream.acceptWaveform({sampleRate: wave.sampleRate, samples: wave.samples}); | ||
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| const tailPadding = new Float32Array(wave.sampleRate * 0.4); | ||
| stream.acceptWaveform({samples: tailPadding, sampleRate: wave.sampleRate}); | ||
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| while (recognizer.isReady(stream)) { | ||
| recognizer.decode(stream); | ||
| } | ||
| result = recognizer.getResult(stream) | ||
| let stop = performance.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) |
89 changes: 89 additions & 0 deletions
89
nodejs-addon-examples/test_asr_streaming_ctc_hlg_microphone.js
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,89 @@ | ||
| // 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 createOnlineRecognizer() { | ||
| const config = { | ||
| 'featConfig': { | ||
| 'sampleRate': 16000, | ||
| 'featureDim': 80, | ||
| }, | ||
| 'modelConfig': { | ||
| 'zipformer2Ctc': { | ||
| 'model': | ||
| './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/ctc-epoch-30-avg-3-chunk-16-left-128.int8.onnx', | ||
| }, | ||
| 'tokens': | ||
| './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/tokens.txt', | ||
| 'numThreads': 2, | ||
| 'provider': 'cpu', | ||
| 'debug': 1, | ||
| }, | ||
| 'ctcFstDecoderConfig': { | ||
| 'graph': './sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/HLG.fst', | ||
| }, | ||
| 'enableEndpoint': true, | ||
| 'rule1MinTrailingSilence': 2.4, | ||
| 'rule2MinTrailingSilence': 1.2, | ||
| 'rule3MinUtteranceLength': 20 | ||
| }; | ||
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| return new sherpa_onnx.OnlineRecognizer(config); | ||
| } | ||
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| const recognizer = createOnlineRecognizer(); | ||
| const stream = recognizer.createStream(); | ||
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| let lastText = ''; | ||
| let segmentIndex = 0; | ||
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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: recognizer.config.featConfig.sampleRate | ||
| } | ||
| }); | ||
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| const display = new sherpa_onnx.Display(50); | ||
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| ai.on('data', data => { | ||
| const samples = new Float32Array(data.buffer); | ||
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| stream.acceptWaveform( | ||
| {sampleRate: recognizer.config.featConfig.sampleRate, samples: samples}); | ||
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| while (recognizer.isReady(stream)) { | ||
| recognizer.decode(stream); | ||
| } | ||
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| const isEndpoint = recognizer.isEndpoint(stream); | ||
| const text = recognizer.getResult(stream).text.toLowerCase(); | ||
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| if (text.length > 0 && lastText != text) { | ||
| lastText = text; | ||
| display.print(segmentIndex, lastText); | ||
| } | ||
| if (isEndpoint) { | ||
| if (text.length > 0) { | ||
| lastText = text; | ||
| segmentIndex += 1; | ||
| } | ||
| recognizer.reset(stream) | ||
| } | ||
| }); | ||
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| ai.on('close', () => { | ||
| console.log('Free resources'); | ||
| stream.free(); | ||
| recognizer.free(); | ||
| }); | ||
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| ai.start(); | ||
| console.log('Started! Please speak') |
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