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enginex_bi_series-sherpa-onnx/nodejs-examples/test-offline-nemo-canary.js
Fangjun Kuang df4615ca1d Add C/CXX/JavaScript API for NeMo Canary models (#2357)
This PR introduces support for NeMo Canary models across C, C++, and JavaScript APIs 
by adding new Canary configuration structures, updating bindings, extending examples,
and enhancing CI workflows.

- Add OfflineCanaryModelConfig to all language bindings (C, C++, JS, ETS).
- Implement SetConfig methods and NAPI wrappers for updating recognizer config at runtime.
- Update examples and CI scripts to demonstrate and test NeMo Canary model usage.
2025-07-07 23:38:04 +08:00

57 lines
1.5 KiB
JavaScript

// Copyright (c) 2025 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 config = {
modelConfig: {
canary: {
encoder:
'./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/encoder.int8.onnx',
decoder:
'./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/decoder.int8.onnx',
srcLang: 'en',
tgtLang: 'en',
usePnc: 1,
},
debug: 0,
tokens:
'./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/tokens.txt',
}
};
return sherpa_onnx.createOfflineRecognizer(config);
}
const recognizer = createOfflineRecognizer();
let stream = recognizer.createStream();
const waveFilename =
'./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/test_wavs/en.wav';
const wave = sherpa_onnx.readWave(waveFilename);
stream.acceptWaveform(wave.sampleRate, wave.samples);
recognizer.decode(stream);
let text = recognizer.getResult(stream).text;
console.log(`text in English: ${text}`);
stream.free();
// now output German text
recognizer.config.modelConfig.canary.tgtLang = 'de';
recognizer.setConfig(recognizer.config);
stream = recognizer.createStream();
stream.acceptWaveform(wave.sampleRate, wave.samples);
recognizer.decode(stream);
text = recognizer.getResult(stream).text;
console.log(`text in German: ${text}`);
stream.free();
recognizer.free();