Files
sherpa-onnx/nodejs-addon-examples/test_tts_non_streaming_matcha_icefall_en_lexicon.js
Fangjun Kuang 0b3647632f Remove espeak-ng and piper-phonemize from sherpa-onnx (#4055)
Fixes #3731

espeak-ng and piper-phonemize are no longer built into sherpa-onnx.

Text frontends are now:

- **lexicon** — built in, no extra dependency
- **phonemize** — phonemize outside sherpa-onnx (e.g. [piper-phonemize](https://github.com/csukuangfj/piper-phonemize)) and pass the result in. That library is GPL, so it stays optional: sherpa-onnx is GPL-free after this PR.

## API

- `SherpaOnnxGenerationConfig` gains `phoneme_codepoints` and `tokens` (mutually exclusive alternatives to `text`)
- `data_dir` on the TTS model configs is deprecated and ignored; the ABI slot is kept
- all bindings updated: C/C++, Python, Java, Kotlin, Go, Rust, C#, Swift, Pascal, Dart/Flutter, node-addon, WASM, HarmonyOS
2026-10-20 11:09:04 +08:00

54 lines
1.7 KiB
JavaScript

// Copyright (c) 2025 Xiaomi Corporation
const sherpa_onnx = require('sherpa-onnx-node');
// please refer to
// https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/matcha.html#matcha-icefall-en-us-ljspeech-american-english-1-female-speaker
// to download model files
function createOfflineTts() {
const config = {
model: {
matcha: {
acousticModel: './matcha-icefall-en_US-ljspeech/model-steps-3.onnx',
vocoder: './vocos-22khz-univ.onnx',
lexicon: './lexicon-en-us.txt',
tokens: './matcha-icefall-en_US-ljspeech/tokens.txt',
},
debug: true,
numThreads: 1,
provider: 'cpu',
},
maxNumSentences: 1,
};
return new sherpa_onnx.OfflineTts(config);
}
const tts = createOfflineTts();
const text =
'Today as always, men fall into two groups: slaves and free men. Whoever does not have two-thirds of his day for himself, is a slave, whatever he may be: a statesman, a businessman, an official, or a scholar.';
const generationConfig = new sherpa_onnx.GenerationConfig({
sid: 0,
speed: 1.0,
silenceScale: 0.2,
});
let start = Date.now();
const audio = tts.generate({text, generationConfig});
let stop = Date.now();
const elapsed_seconds = (stop - start) / 1000;
const duration = audio.samples.length / audio.sampleRate;
const real_time_factor = elapsed_seconds / duration;
console.log('Wave duration', duration.toFixed(3), 'seconds');
console.log('Elapsed', elapsed_seconds.toFixed(3), 'seconds');
console.log(
`RTF = ${elapsed_seconds.toFixed(3)}/${duration.toFixed(3)} =`,
real_time_factor.toFixed(3));
const filename = 'test-matcha-en-lexicon.wav';
sherpa_onnx.writeWave(
filename, {samples: audio.samples, sampleRate: audio.sampleRate});
console.log(`Saved to ${filename}`);