This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
424 lines
13 KiB
JavaScript
424 lines
13 KiB
JavaScript
// This file copies and modifies code
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// from https://mdn.github.io/web-dictaphone/scripts/app.js
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// and https://gist.github.com/meziantou/edb7217fddfbb70e899e
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const startBtn = document.getElementById('startBtn');
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const stopBtn = document.getElementById('stopBtn');
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const clearBtn = document.getElementById('clearBtn');
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const soundClips = document.getElementById('sound-clips');
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let textArea = document.getElementById('results');
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let lastResult = '';
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let resultList = [];
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clearBtn.onclick = function() {
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resultList = [];
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textArea.value = getDisplayResult();
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textArea.scrollTop = textArea.scrollHeight; // auto scroll
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};
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function getDisplayResult() {
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let i = 0;
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let ans = '';
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for (let s in resultList) {
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if (resultList[s] == '') {
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continue;
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}
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if (resultList[s] == 'Speech detected') {
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ans += '' + i + ': ' + resultList[s];
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i += 1;
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} else {
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ans += ', ' + resultList[s] + '\n';
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}
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}
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if (lastResult.length > 0) {
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ans += '' + i + ': ' + lastResult + '\n';
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}
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return ans;
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}
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Module = {};
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let audioCtx;
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let mediaStream;
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let expectedSampleRate = 16000;
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let recordSampleRate; // the sampleRate of the microphone
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let recorder = null; // the microphone
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let leftchannel = []; // TODO: Use a single channel
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let recordingLength = 0; // number of samples so far
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let vad = null;
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let buffer = null;
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let recognizer = null;
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let printed = false;
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function fileExists(filename) {
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const filenameLen = Module.lengthBytesUTF8(filename) + 1;
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const buffer = Module._malloc(filenameLen);
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Module.stringToUTF8(filename, buffer, filenameLen);
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let exists = Module._SherpaOnnxFileExists(buffer);
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Module._free(buffer);
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return exists;
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}
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function createOfflineRecognizerSenseVoice() {}
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function initOfflineRecognizer() {
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let config = {
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modelConfig: {
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debug: 1,
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tokens: './tokens.txt',
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},
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};
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if (fileExists('sense-voice.onnx') == 1) {
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config.modelConfig.senseVoice = {
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model: './sense-voice.onnx',
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useInverseTextNormalization: 1,
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};
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} else if (fileExists('whisper-encoder.onnx')) {
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config.modelConfig.whisper = {
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encoder: './whisper-encoder.onnx',
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decoder: './whisper-decoder.onnx',
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};
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} else if (fileExists('transducer-encoder.onnx')) {
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config.modelConfig.transducer = {
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encoder: './transducer-encoder.onnx',
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decoder: './transducer-decoder.onnx',
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joiner: './transducer-joiner.onnx',
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};
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config.modelConfig.modelType = 'transducer';
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} else if (fileExists('nemo-transducer-encoder.onnx')) {
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config.modelConfig.transducer = {
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encoder: './nemo-transducer-encoder.onnx',
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decoder: './nemo-transducer-decoder.onnx',
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joiner: './nemo-transducer-joiner.onnx',
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};
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config.modelConfig.modelType = 'nemo_transducer';
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} else if (fileExists('paraformer.onnx')) {
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config.modelConfig.paraformer = {
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model: './paraformer.onnx',
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};
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} else if (fileExists('telespeech.onnx')) {
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config.modelConfig.telespeechCtc = './telespeech.onnx';
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} else if (fileExists('moonshine-preprocessor.onnx')) {
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config.modelConfig.moonshine = {
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preprocessor: './moonshine-preprocessor.onnx',
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encoder: './moonshine-encoder.onnx',
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uncachedDecoder: './moonshine-uncached-decoder.onnx',
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cachedDecoder: './moonshine-cached-decoder.onnx'
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};
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} else if (fileExists('dolphin.onnx')) {
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config.modelConfig.dolphin = {model: './dolphin.onnx'};
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} else if (fileExists('zipformer-ctc.onnx')) {
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// you need to rename model.int8.onnx from zipformer CTC to
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// zipformer-ctc.onnx
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config.modelConfig.zipformerCtc = {model: './zipformer-ctc.onnx'};
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} else {
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console.log('Please specify a model.');
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alert('Please specify a model.');
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}
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recognizer = new OfflineRecognizer(config, Module);
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}
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// https://emscripten.org/docs/api_reference/module.html#Module.locateFile
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Module.locateFile = function(path, scriptDirectory = '') {
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console.log(`path: ${path}, scriptDirectory: ${scriptDirectory}`);
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return scriptDirectory + path;
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};
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// https://emscripten.org/docs/api_reference/module.html#Module.locateFile
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Module.setStatus = function(status) {
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console.log(`status ${status}`);
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const statusElement = document.getElementById('status');
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if (status == 'Running...') {
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status = 'Model downloaded. Initializing recongizer...'
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}
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statusElement.textContent = status;
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if (status === '') {
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statusElement.style.display = 'none';
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// statusElement.parentNode.removeChild(statusElement);
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document.querySelectorAll('.tab-content').forEach((tabContentElement) => {
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tabContentElement.classList.remove('loading');
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});
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} else {
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statusElement.style.display = 'block';
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document.querySelectorAll('.tab-content').forEach((tabContentElement) => {
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tabContentElement.classList.add('loading');
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});
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}
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};
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Module.onRuntimeInitialized = function() {
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console.log('inited!');
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startBtn.disabled = false;
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vad = createVad(Module);
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console.log('vad is created!', vad);
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buffer = new CircularBuffer(30 * 16000, Module);
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console.log('CircularBuffer is created!', buffer);
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initOfflineRecognizer();
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};
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if (navigator.mediaDevices.getUserMedia) {
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console.log('getUserMedia supported.');
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// see https://w3c.github.io/mediacapture-main/#dom-mediadevices-getusermedia
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const constraints = {audio: true};
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let onSuccess = function(stream) {
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if (!audioCtx) {
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audioCtx = new AudioContext({sampleRate: expectedSampleRate});
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}
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console.log(audioCtx);
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recordSampleRate = audioCtx.sampleRate;
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console.log('sample rate ' + recordSampleRate);
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// creates an audio node from the microphone incoming stream
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mediaStream = audioCtx.createMediaStreamSource(stream);
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console.log('media stream', mediaStream);
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// https://developer.mozilla.org/en-US/docs/Web/API/AudioContext/createScriptProcessor
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// bufferSize: the onaudioprocess event is called when the buffer is full
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var bufferSize = 4096;
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var numberOfInputChannels = 1;
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var numberOfOutputChannels = 2;
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if (audioCtx.createScriptProcessor) {
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recorder = audioCtx.createScriptProcessor(
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bufferSize, numberOfInputChannels, numberOfOutputChannels);
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} else {
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recorder = audioCtx.createJavaScriptNode(
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bufferSize, numberOfInputChannels, numberOfOutputChannels);
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}
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console.log('recorder', recorder);
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recorder.onaudioprocess = function(e) {
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let samples = new Float32Array(e.inputBuffer.getChannelData(0))
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samples = downsampleBuffer(samples, expectedSampleRate);
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buffer.push(samples);
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while (buffer.size() > vad.config.sileroVad.windowSize) {
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const s = buffer.get(buffer.head(), vad.config.sileroVad.windowSize);
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vad.acceptWaveform(s);
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buffer.pop(vad.config.sileroVad.windowSize);
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if (vad.isDetected() && !printed) {
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printed = true;
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lastResult = 'Speech detected';
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}
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if (!vad.isDetected()) {
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printed = false;
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if (lastResult != '') {
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resultList.push(lastResult);
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}
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lastResult = '';
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}
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while (!vad.isEmpty()) {
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const segment = vad.front();
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const duration = segment.samples.length / expectedSampleRate;
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let durationStr = `Duration: ${duration.toFixed(3)} seconds`;
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vad.pop();
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// non-streaming asr
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const stream = recognizer.createStream();
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stream.acceptWaveform(expectedSampleRate, segment.samples);
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recognizer.decode(stream);
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let recognitionResult = recognizer.getResult(stream);
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console.log(recognitionResult);
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let text = recognitionResult.text;
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stream.free();
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console.log(text);
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if (text != '') {
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durationStr += `. Result: ${text}`;
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}
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resultList.push(durationStr);
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// now save the segment to a wav file
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let buf = new Int16Array(segment.samples.length);
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for (var i = 0; i < segment.samples.length; ++i) {
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let s = segment.samples[i];
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if (s >= 1)
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s = 1;
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else if (s <= -1)
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s = -1;
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buf[i] = s * 32767;
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}
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let clipName = new Date().toISOString() + '--' + durationStr;
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const clipContainer = document.createElement('article');
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const clipLabel = document.createElement('p');
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const audio = document.createElement('audio');
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const deleteButton = document.createElement('button');
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clipContainer.classList.add('clip');
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audio.setAttribute('controls', '');
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deleteButton.textContent = 'Delete';
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deleteButton.className = 'delete';
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clipLabel.textContent = clipName;
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clipContainer.appendChild(audio);
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clipContainer.appendChild(clipLabel);
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clipContainer.appendChild(deleteButton);
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soundClips.appendChild(clipContainer);
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audio.controls = true;
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const blob = toWav(buf);
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leftchannel = [];
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const audioURL = window.URL.createObjectURL(blob);
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audio.src = audioURL;
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deleteButton.onclick = function(e) {
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let evtTgt = e.target;
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evtTgt.parentNode.parentNode.removeChild(evtTgt.parentNode);
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};
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clipLabel.onclick = function() {
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const existingName = clipLabel.textContent;
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const newClipName = prompt('Enter a new name for your sound clip?');
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if (newClipName === null) {
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clipLabel.textContent = existingName;
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} else {
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clipLabel.textContent = newClipName;
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}
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};
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}
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}
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textArea.value = getDisplayResult();
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textArea.scrollTop = textArea.scrollHeight; // auto scroll
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};
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startBtn.onclick = function() {
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mediaStream.connect(recorder);
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recorder.connect(audioCtx.destination);
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console.log('recorder started');
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stopBtn.disabled = false;
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startBtn.disabled = true;
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};
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stopBtn.onclick = function() {
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vad.reset();
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buffer.reset();
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console.log('recorder stopped');
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// stopBtn recording
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recorder.disconnect(audioCtx.destination);
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mediaStream.disconnect(recorder);
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startBtn.style.background = '';
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startBtn.style.color = '';
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// mediaRecorder.requestData();
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stopBtn.disabled = true;
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startBtn.disabled = false;
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};
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};
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let onError = function(err) {
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console.log('The following error occured: ' + err);
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};
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navigator.mediaDevices.getUserMedia(constraints).then(onSuccess, onError);
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} else {
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console.log('getUserMedia not supported on your browser!');
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alert('getUserMedia not supported on your browser!');
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}
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// this function is copied/modified from
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// https://gist.github.com/meziantou/edb7217fddfbb70e899e
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function flatten(listOfSamples) {
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let n = 0;
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for (let i = 0; i < listOfSamples.length; ++i) {
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n += listOfSamples[i].length;
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}
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let ans = new Int16Array(n);
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let offset = 0;
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for (let i = 0; i < listOfSamples.length; ++i) {
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ans.set(listOfSamples[i], offset);
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offset += listOfSamples[i].length;
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}
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return ans;
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}
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// this function is copied/modified from
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// https://gist.github.com/meziantou/edb7217fddfbb70e899e
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function toWav(samples) {
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let buf = new ArrayBuffer(44 + samples.length * 2);
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var view = new DataView(buf);
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// http://soundfile.sapp.org/doc/WaveFormat/
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// F F I R
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view.setUint32(0, 0x46464952, true); // chunkID
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view.setUint32(4, 36 + samples.length * 2, true); // chunkSize
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// E V A W
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view.setUint32(8, 0x45564157, true); // format
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//
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// t m f
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view.setUint32(12, 0x20746d66, true); // subchunk1ID
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view.setUint32(16, 16, true); // subchunk1Size, 16 for PCM
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view.setUint32(20, 1, true); // audioFormat, 1 for PCM
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view.setUint16(22, 1, true); // numChannels: 1 channel
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view.setUint32(24, expectedSampleRate, true); // sampleRate
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view.setUint32(28, expectedSampleRate * 2, true); // byteRate
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view.setUint16(32, 2, true); // blockAlign
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view.setUint16(34, 16, true); // bitsPerSample
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view.setUint32(36, 0x61746164, true); // Subchunk2ID
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view.setUint32(40, samples.length * 2, true); // subchunk2Size
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let offset = 44;
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for (let i = 0; i < samples.length; ++i) {
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view.setInt16(offset, samples[i], true);
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offset += 2;
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}
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return new Blob([view], {type: 'audio/wav'});
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}
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// this function is copied from
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// https://github.com/awslabs/aws-lex-browser-audio-capture/blob/master/lib/worker.js#L46
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function downsampleBuffer(buffer, exportSampleRate) {
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if (exportSampleRate === recordSampleRate) {
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return buffer;
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}
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var sampleRateRatio = recordSampleRate / exportSampleRate;
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var newLength = Math.round(buffer.length / sampleRateRatio);
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var result = new Float32Array(newLength);
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var offsetResult = 0;
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var offsetBuffer = 0;
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while (offsetResult < result.length) {
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var nextOffsetBuffer = Math.round((offsetResult + 1) * sampleRateRatio);
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var accum = 0, count = 0;
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for (var i = offsetBuffer; i < nextOffsetBuffer && i < buffer.length; i++) {
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accum += buffer[i];
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count++;
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}
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result[offsetResult] = accum / count;
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offsetResult++;
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offsetBuffer = nextOffsetBuffer;
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}
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return result;
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};
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