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https://github.com/k2-fsa/sherpa-onnx.git
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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
98 lines
3.5 KiB
Rust
98 lines
3.5 KiB
Rust
// Copyright (c) 2026 Xiaomi Corporation
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//
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// This file demonstrates how to use ZipVoice TTS with sherpa-onnx's Rust API
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// for offline zero-shot text-to-speech.
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use sherpa_onnx::{
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GenerationConfig, OfflineTts, OfflineTtsConfig, OfflineTtsZipvoiceModelConfig, Wave,
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};
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use std::collections::HashMap;
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use std::time::Instant;
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fn main() {
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let config = OfflineTtsConfig {
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model: sherpa_onnx::OfflineTtsModelConfig {
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zipvoice: OfflineTtsZipvoiceModelConfig {
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tokens: Some("./sherpa-onnx-zipvoice-distill-int8-zh-en-emilia/tokens.txt".into()),
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encoder: Some(
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"./sherpa-onnx-zipvoice-distill-int8-zh-en-emilia/encoder.int8.onnx".into(),
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),
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decoder: Some(
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"./sherpa-onnx-zipvoice-distill-int8-zh-en-emilia/decoder.int8.onnx".into(),
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),
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vocoder: Some("./vocos_24khz.onnx".into()),
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lexicon: Some(
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"./sherpa-onnx-zipvoice-distill-int8-zh-en-emilia/lexicon.txt,./lexicon-en-us.txt"
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.into(),
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),
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feat_scale: 0.1,
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t_shift: 0.5,
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target_rms: 0.1,
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guidance_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 = "小米的价值观是真诚, 热爱. 真诚,就是不欺人也不自欺. 热爱, 就是全心投入并享受其中.";
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let reference_text = "那还是三十六年前, 一九八七年. 我呢考上了武汉大学的计算机系.";
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let reference_audio_file =
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"./sherpa-onnx-zipvoice-distill-int8-zh-en-emilia/test_wavs/leijun-1.wav";
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let wave = Wave::read(reference_audio_file).expect("Failed to read reference audio");
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let mut extra = HashMap::new();
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extra.insert("min_char_in_sentence".to_string(), serde_json::json!(10));
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let gen_config = GenerationConfig {
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speed: 1.0,
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reference_audio: Some(wave.samples().to_vec()),
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reference_sample_rate: wave.sample_rate(),
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reference_text: Some(reference_text.to_string()),
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num_steps: 4,
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extra: Some(extra),
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..Default::default()
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};
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let start = Instant::now();
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let audio = tts
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.generate_with_config(
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text,
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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-zipvoice-zh-en-lexicon-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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