Files
sherpa-onnx/nodejs-addon-examples/test_tts_non_streaming_kitten_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

109 lines
3.5 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-node) 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_tts_non_streaming_kitten_en_lexicon.js.
const sherpa_onnx = require('sherpa-onnx-node');
const piperPhonemize = require('piper-phonemize-node');
/**
* Create an offline TTS instance asynchronously using the Kitten model.
*
* Model files can be downloaded from:
* https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/kitten.html
*/
async function createOfflineTtsAsync() {
const config = {
model: {
kitten: {
model: './kitten-nano-en-v0_1-fp16/model.fp16.onnx',
voices: './kitten-nano-en-v0_1-fp16/voices.bin',
tokens: './kitten-nano-en-v0_1-fp16/tokens.txt',
},
debug: true,
numThreads: 1,
provider: 'cpu',
},
maxNumSentences: 1,
};
// Use the async factory (non-blocking)
return await sherpa_onnx.OfflineTts.createAsync(config);
}
async function main() {
// Asynchronously create the OfflineTts instance
const tts = await createOfflineTtsAsync();
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.';
console.log('Number of speakers:', tts.numSpeakers);
console.log('Sample rate:', tts.sampleRate);
const start = Date.now();
// 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 = new sherpa_onnx.GenerationConfig({
phonemeCodepoints,
sid: 6,
speed: 1.0,
silenceScale: 0.2,
});
// Asynchronous generation with progress reporting
// The text has already been phonemized; pass an empty string here.
const audio = await tts.generateAsync({
text: '',
generationConfig,
// Progress callback receives audio chunks
onProgress({samples, progress}) {
// samples is Float32Array for this chunk
process.stdout.write(`\rGenerating... ${
(progress * 100).toFixed(1)}% (chunk length: ${samples.length})`);
// Return 0 or false to cancel, any other value to continue
return true;
},
});
console.log('\nGeneration finished.');
const stop = Date.now();
const elapsedSeconds = (stop - start) / 1000;
const durationSeconds = audio.samples.length / audio.sampleRate;
const realTimeFactor = elapsedSeconds / durationSeconds;
console.log('Wave duration:', durationSeconds.toFixed(3), 'seconds');
console.log('Elapsed time:', elapsedSeconds.toFixed(3), 'seconds');
console.log(
`RTF = ${elapsedSeconds.toFixed(3)} / ${durationSeconds.toFixed(3)} =`,
realTimeFactor.toFixed(3));
const filename = 'test-kitten-en-6-phonemize.wav';
sherpa_onnx.writeWave(filename, {
samples: audio.samples,
sampleRate: audio.sampleRate,
});
console.log(`Saved to ${filename}`);
}
// Run the demo
main().catch((err) => {
console.error('TTS failed:', err);
process.exit(1);
});