Files
sherpa-onnx/nodejs-examples/test-offline-tts-matcha-en-phonemize.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

63 lines
2.2 KiB
JavaScript

// Copyright (c) 2026 Xiaomi Corporation
//
// The text is phonemized outside of sherpa-onnx with piper-phonemize
// (https://www.npmjs.com/package/piper-phonemize) and the resulting phoneme
// codepoints are passed via GenerationConfig.phonemeCodepoints. No lexicon
// file and no espeak-ng-data are needed. If you want to use a lexicon
// instead, please see test-offline-tts-matcha-en-lexicon.js.
const sherpa_onnx = require('sherpa-onnx');
const piperPhonemize = require('piper-phonemize');
const silenceScale = 0.2;
function createOfflineTts() {
let offlineTtsMatchaModelConfig = {
acousticModel: './matcha-icefall-en_US-ljspeech/model-steps-3.onnx',
vocoder: './vocos-22khz-univ.onnx',
tokens: './matcha-icefall-en_US-ljspeech/tokens.txt',
noiseScale: 0.667,
lengthScale: 1.0,
};
let offlineTtsModelConfig = {
offlineTtsMatchaModelConfig: offlineTtsMatchaModelConfig,
numThreads: 1,
debug: 1,
provider: 'cpu',
};
let offlineTtsConfig = {
offlineTtsModelConfig: offlineTtsModelConfig,
maxNumSentences: 1,
silenceScale: silenceScale,
};
return sherpa_onnx.createOfflineTts(offlineTtsConfig);
}
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.';
// The espeak-ng voice is taken from the model metadata. Fall back to
// en-us if the model has no language information.
const voice = tts.lang || 'en-us';
const phonemeCodepoints = piperPhonemize.phonemize(text, voice)
// piper may emit empty sentences (e.g. a trailing segment after
// punctuation); the C API requires every sentence to be non-empty.
.filter((sentence) => sentence.length > 0);
const generationConfig = {
phonemeCodepoints: phonemeCodepoints,
sid: 0,
speed: 1.0,
silenceScale: silenceScale,
};
// The text has already been phonemized; pass an empty string here.
const audio = tts.generateWithConfig('', generationConfig);
tts.save('./test-matcha-en-phonemize.wav', audio);
console.log('Saved to test-matcha-en-phonemize.wav successfully.');
tts.free();