test-online-transducer-itn.js
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// Copyright (c) 2023 Xiaomi Corporation (authors: Fangjun Kuang)
//
const fs = require('fs');
const {Readable} = require('stream');
const wav = require('wav');
const sherpa_onnx = require('sherpa-onnx');
function createOnlineRecognizer() {
let onlineTransducerModelConfig = {
encoder:
'./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/encoder-epoch-99-avg-1.int8.onnx',
decoder:
'./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/decoder-epoch-99-avg-1.onnx',
joiner:
'./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/joiner-epoch-99-avg-1.int8.onnx',
};
let onlineParaformerModelConfig = {
encoder: '',
decoder: '',
};
let onlineZipformer2CtcModelConfig = {
model: '',
};
let onlineModelConfig = {
transducer: onlineTransducerModelConfig,
paraformer: onlineParaformerModelConfig,
zipformer2Ctc: onlineZipformer2CtcModelConfig,
tokens:
'./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt',
numThreads: 1,
provider: 'cpu',
debug: 1,
modelType: 'zipformer',
};
let featureConfig = {
sampleRate: 16000,
featureDim: 80,
};
let recognizerConfig = {
featConfig: featureConfig,
modelConfig: onlineModelConfig,
decodingMethod: 'greedy_search',
maxActivePaths: 4,
enableEndpoint: 1,
rule1MinTrailingSilence: 2.4,
rule2MinTrailingSilence: 1.2,
rule3MinUtteranceLength: 20,
hotwordsFile: '',
hotwordsScore: 1.5,
ctcFstDecoderConfig: {
graph: '',
maxActive: 3000,
},
// https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
ruleFsts: './itn_zh_number.fst',
};
return sherpa_onnx.createOnlineRecognizer(recognizerConfig);
}
const recognizer = createOnlineRecognizer();
const stream = recognizer.createStream();
// https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn-zh-number.wav
const waveFilename = './itn-zh-number.wav';
const reader = new wav.Reader();
const readable = new Readable().wrap(reader);
function decode(samples) {
stream.acceptWaveform(recognizer.config.featConfig.sampleRate, samples);
while (recognizer.isReady(stream)) {
recognizer.decode(stream);
}
const text = recognizer.getResult(stream).text;
console.log(text);
}
reader.on('format', ({audioFormat, bitDepth, channels, sampleRate}) => {
if (sampleRate != recognizer.config.featConfig.sampleRate) {
throw new Error(`Only support sampleRate ${
recognizer.config.featConfig.sampleRate}. Given ${sampleRate}`);
}
if (audioFormat != 1) {
throw new Error(`Only support PCM format. Given ${audioFormat}`);
}
if (channels != 1) {
throw new Error(`Only a single channel. Given ${channel}`);
}
if (bitDepth != 16) {
throw new Error(`Only support 16-bit samples. Given ${bitDepth}`);
}
});
fs.createReadStream(waveFilename, {'highWaterMark': 4096})
.pipe(reader)
.on('finish', function(err) {
// tail padding
const floatSamples =
new Float32Array(recognizer.config.featConfig.sampleRate * 0.5);
decode(floatSamples);
stream.free();
recognizer.free();
});
readable.on('readable', function() {
let chunk;
while ((chunk = readable.read()) != null) {
const int16Samples = new Int16Array(
chunk.buffer, chunk.byteOffset,
chunk.length / Int16Array.BYTES_PER_ELEMENT);
const floatSamples = new Float32Array(int16Samples.length);
for (let i = 0; i < floatSamples.length; i++) {
floatSamples[i] = int16Samples[i] / 32768.0;
}
decode(floatSamples);
}
});