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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
118 lines
4.2 KiB
Rust
118 lines
4.2 KiB
Rust
// Copyright (c) 2026 Xiaomi Corporation
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//
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// This file demonstrates how to use Matcha TTS with sherpa-onnx's Rust API
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// for offline English text-to-speech.
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//
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// The text is phonemized outside of sherpa-onnx with the piper-phonemize crate
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// and the resulting phoneme codepoints are passed via
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// GenerationConfig::phoneme_codepoints. No lexicon file is needed.
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//
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// The Rust counterpart of
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// https://github.com/k2-fsa/sherpa-onnx/blob/master/python-api-examples/test-offline-tts-matcha-en-phonemize.py
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use sherpa_onnx::{
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GenerationConfig, OfflineTts, OfflineTtsConfig, OfflineTtsMatchaModelConfig,
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};
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use std::time::Instant;
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fn main() {
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println!("piper-phonemize version: {}", piper_phonemize::get_version());
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// Note: the espeak-ng-data used by piper-phonemize is embedded in the
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// crate and initialized automatically on first use. It has nothing to do
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// with sherpa-onnx; sherpa-onnx itself does not use espeak-ng anymore.
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let config = OfflineTtsConfig {
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model: sherpa_onnx::OfflineTtsModelConfig {
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matcha: OfflineTtsMatchaModelConfig {
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acoustic_model: Some("./matcha-icefall-en_US-ljspeech/model-steps-3.onnx".into()),
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vocoder: Some("./vocos-22khz-univ.onnx".into()),
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tokens: Some("./matcha-icefall-en_US-ljspeech/tokens.txt".into()),
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noise_scale: 0.667,
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length_scale: 1.0,
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..Default::default()
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},
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num_threads: 2,
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debug: false,
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..Default::default()
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},
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..Default::default()
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};
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let tts = OfflineTts::create(&config).expect("Failed to create OfflineTts");
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println!("Sample rate: {}", tts.sample_rate());
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println!("Num speakers: {}", tts.num_speakers());
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let text = "Today as always, men fall into two groups: slaves and free men. Whoever \
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does not have two-thirds of his day for himself, is a slave, whatever \
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he may be: a statesman, a businessman, an official, or a scholar. \
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Friends fell out often because life was changing so fast. The easiest \
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thing in the world was to lose touch with someone.";
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// The espeak-ng voice for the phonemizer is taken from the model metadata.
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// Fall back to en-us if the model has no language information.
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let lang = {
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let l = tts.lang();
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if l.is_empty() {
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eprintln!(
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"Warning: the model has no language information. Falling back to en-us."
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);
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"en-us".to_string()
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} else {
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l
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}
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};
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println!("Phonemizer language: {}", lang);
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let result =
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piper_phonemize::phonemize(text, &lang).expect("Failed to phonemize the text");
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let mut phoneme_codepoints = Vec::new();
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for i in 0..result.num_sentences() {
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let phonemes = result.get_phonemes(i).unwrap_or_default();
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phoneme_codepoints.push(phonemes.into_iter().map(|c| c as i32).collect::<Vec<i32>>());
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}
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println!("Number of phonemized sentences: {}", phoneme_codepoints.len());
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let gen_config = GenerationConfig {
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sid: 0,
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speed: 1.0,
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phoneme_codepoints: Some(phoneme_codepoints),
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..Default::default()
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};
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let start = Instant::now();
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// The text has already been phonemized; pass an empty string here.
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let audio = tts
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.generate_with_config(
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"",
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&gen_config,
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Some(|_samples: &[f32], progress: f32| -> bool {
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println!("Progress: {:.1}%", progress * 100.0);
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true
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}),
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)
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.expect("Generation failed");
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let elapsed_seconds = start.elapsed().as_secs_f32();
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let duration = audio.samples().len() as f32 / audio.sample_rate() as f32;
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let rtf = elapsed_seconds / duration;
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println!("Number of threads: {}", config.model.num_threads);
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println!("Elapsed seconds: {:.3} s", elapsed_seconds);
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println!("Audio duration: {:.3} s", duration);
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println!(
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"Real-time factor (RTF): {:.3}/{:.3} = {:.3}",
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elapsed_seconds, duration, rtf
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);
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let filename = "./generated-matcha-en-phonemize-rust.wav";
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if audio.save(filename) {
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println!("Saved to: {}", filename);
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} else {
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eprintln!("Failed to save {}", filename);
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}
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}
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