// Copyright (c) 2023-2024 Xiaomi Corporation (authors: Fangjun Kuang) // const fs = require('fs'); const {Readable} = require('stream'); const wav = require('wav'); const sherpa_onnx = require('sherpa-onnx'); function createOfflineRecognizer() { let featConfig = { sampleRate: 16000, featureDim: 80, }; let modelConfig = { transducer: { encoder: '', decoder: '', joiner: '', }, paraformer: { model: '', }, nemoCtc: { model: './sherpa-onnx-nemo-ctc-en-conformer-small/model.int8.onnx', }, whisper: { encoder: '', decoder: '', language: '', task: '', }, tdnn: { model: '', }, tokens: './sherpa-onnx-nemo-ctc-en-conformer-small/tokens.txt', numThreads: 1, debug: 0, provider: 'cpu', modelType: 'nemo_ctc', }; let lmConfig = { model: '', scale: 1.0, }; let config = { featConfig: featConfig, modelConfig: modelConfig, lmConfig: lmConfig, decodingMethod: 'greedy_search', maxActivePaths: 4, hotwordsFile: '', hotwordsScore: 1.5, }; return sherpa_onnx.createOfflineRecognizer(config); } const recognizer = createOfflineRecognizer(); const stream = recognizer.createStream(); const waveFilename = './sherpa-onnx-nemo-ctc-en-conformer-small/test_wavs/0.wav'; const reader = new wav.Reader(); const readable = new Readable().wrap(reader); const buf = []; 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); buf.push(floatSamples); const flattened = Float32Array.from(buf.reduce((a, b) => [...a, ...b], [])); stream.acceptWaveform(recognizer.config.featConfig.sampleRate, flattened); recognizer.decode(stream); const text = recognizer.getResult(stream); console.log(text); 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; } buf.push(floatSamples); } });