Add keyword spotting API for node-addon-api (#877)
This commit is contained in:
@@ -62,6 +62,13 @@ The following tables list the examples in this folder.
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|[./test_audio_tagging_zipformer.js](./test_audio_tagging_zipformer.js)| Audio tagging with a Zipformer model|
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|[./test_audio_tagging_ced.js](./test_audio_tagging_ced.js)| Audio tagging with a [CED](https://github.com/RicherMans/CED) model|
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## Keyword spotting
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|File| Description|
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|---|---|
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|[./test_keyword_spotter_transducer.js](./test_keyword_spotter_transducer.js)| Keyword spotting from a file using a Zipformer model|
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|[./test_keyword_spotter_transducer_microphone.js](./test_keyword_spotter_transducer_microphone.js)| Keyword spotting from a microphone using a Zipformer model|
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## Streaming speech-to-text from files
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|File| Description|
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@@ -325,3 +332,17 @@ rm sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
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node ./test_punctuation.js
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```
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## Keyword spotting
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```bash
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
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tar xvf sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
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rm sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
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node ./test_keyword_spotter_transducer.js
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# To run keyword spotting using a microphone
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npm install naudiodon2
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node ./test_keyword_spotter_transducer_microphone.js
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```
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@@ -79,11 +79,5 @@ ai.on('data', data => {
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}
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});
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ai.on('close', () => {
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console.log('Free resources');
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stream.free();
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recognizer.free();
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});
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ai.start();
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console.log('Started! Please speak')
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@@ -78,11 +78,6 @@ ai.on('data', data => {
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}
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});
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ai.on('close', () => {
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console.log('Free resources');
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stream.free();
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recognizer.free();
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});
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ai.start();
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console.log('Started! Please speak')
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@@ -94,11 +94,5 @@ ai.on('data', data => {
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}
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});
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ai.on('close', () => {
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console.log('Free resources');
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stream.free();
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recognizer.free();
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});
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ai.start();
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console.log('Started! Please speak')
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@@ -82,11 +82,5 @@ ai.on('data', data => {
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}
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});
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ai.on('close', () => {
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console.log('Free resources');
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stream.free();
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recognizer.free();
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});
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ai.start();
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console.log('Started! Please speak')
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66
nodejs-addon-examples/test_keyword_spotter_transducer.js
Normal file
66
nodejs-addon-examples/test_keyword_spotter_transducer.js
Normal file
@@ -0,0 +1,66 @@
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// Copyright (c) 2024 Xiaomi Corporation
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const sherpa_onnx = require('sherpa-onnx-node');
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const performance = require('perf_hooks').performance;
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// Please download test files from
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// https://github.com/k2-fsa/sherpa-onnx/releases/tag/kws-models
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const config = {
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'featConfig': {
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'sampleRate': 16000,
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'featureDim': 80,
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},
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'modelConfig': {
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'transducer': {
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'encoder':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/encoder-epoch-12-avg-2-chunk-16-left-64.onnx',
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'decoder':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/decoder-epoch-12-avg-2-chunk-16-left-64.onnx',
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'joiner':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/joiner-epoch-12-avg-2-chunk-16-left-64.onnx',
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},
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'tokens':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/tokens.txt',
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'numThreads': 1,
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'provider': 'cpu',
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'debug': 1,
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},
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'keywordsFile':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/test_keywords.txt',
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};
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const waveFilename =
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/3.wav';
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const kws = new sherpa_onnx.KeywordSpotter(config);
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console.log('Started')
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let start = performance.now();
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const stream = kws.createStream();
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const wave = sherpa_onnx.readWave(waveFilename);
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stream.acceptWaveform({sampleRate: wave.sampleRate, samples: wave.samples});
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const tailPadding = new Float32Array(wave.sampleRate * 0.4);
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stream.acceptWaveform({samples: tailPadding, sampleRate: wave.sampleRate});
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const detectedKeywords = [];
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while (kws.isReady(stream)) {
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const keyword = kws.getResult(stream).keyword;
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if (keyword != '') {
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detectedKeywords.push(keyword);
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}
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kws.decode(stream);
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}
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let stop = performance.now();
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console.log('Done')
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const elapsed_seconds = (stop - start) / 1000;
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const duration = wave.samples.length / wave.sampleRate;
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const real_time_factor = elapsed_seconds / duration;
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console.log('Wave duration', duration.toFixed(3), 'secodns')
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console.log('Elapsed', elapsed_seconds.toFixed(3), 'secodns')
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console.log(
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`RTF = ${elapsed_seconds.toFixed(3)}/${duration.toFixed(3)} =`,
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real_time_factor.toFixed(3))
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console.log(waveFilename)
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console.log('result\n', detectedKeywords)
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@@ -0,0 +1,74 @@
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// Copyright (c) 2023-2024 Xiaomi Corporation (authors: Fangjun Kuang)
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//
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const portAudio = require('naudiodon2');
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// console.log(portAudio.getDevices());
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const sherpa_onnx = require('sherpa-onnx-node');
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function createKeywordSpotter() {
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const config = {
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'featConfig': {
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'sampleRate': 16000,
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'featureDim': 80,
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},
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'modelConfig': {
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'transducer': {
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'encoder':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/encoder-epoch-12-avg-2-chunk-16-left-64.onnx',
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'decoder':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/decoder-epoch-12-avg-2-chunk-16-left-64.onnx',
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'joiner':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/joiner-epoch-12-avg-2-chunk-16-left-64.onnx',
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},
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'tokens':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/tokens.txt',
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'numThreads': 2,
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'provider': 'cpu',
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'debug': 1,
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},
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'keywordsFile':
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'./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/keywords.txt',
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};
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return new sherpa_onnx.KeywordSpotter(config);
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}
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const kws = createKeywordSpotter();
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const stream = kws.createStream();
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let lastText = '';
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let segmentIndex = 0;
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const ai = new portAudio.AudioIO({
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inOptions: {
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channelCount: 1,
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closeOnError: true, // Close the stream if an audio error is detected, if
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// set false then just log the error
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deviceId: -1, // Use -1 or omit the deviceId to select the default device
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sampleFormat: portAudio.SampleFormatFloat32,
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sampleRate: kws.config.featConfig.sampleRate
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}
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});
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const display = new sherpa_onnx.Display(50);
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ai.on('data', data => {
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const samples = new Float32Array(data.buffer);
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stream.acceptWaveform(
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{sampleRate: kws.config.featConfig.sampleRate, samples: samples});
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while (kws.isReady(stream)) {
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kws.decode(stream);
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}
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const keyword = kws.getResult(stream).keyword
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if (keyword != '') {
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display.print(segmentIndex, keyword);
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segmentIndex += 1;
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}
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});
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ai.start();
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console.log('Started! Please speak.')
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console.log(`Only words from ${kws.config.keywordsFile} can be recognized`)
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