继续操作前请注册或者登录。
Fangjun Kuang
Committed by GitHub

Add CXX API for Kokoro TTS 1.0 (#1802)

... ... @@ -103,6 +103,28 @@ jobs:
rm kws-cxx-api
rm -rf sherpa-onnx-kws-*
- name: Test Kokoro TTS (zh+en)
shell: bash
run: |
g++ -std=c++17 -o kokoro-tts-zh-en-cxx-api ./cxx-api-examples/kokoro-tts-zh-en-cxx-api.cc \
-I ./build/install/include \
-L ./build/install/lib/ \
-l sherpa-onnx-cxx-api \
-l sherpa-onnx-c-api \
-l onnxruntime
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/kokoro-multi-lang-v1_0.tar.bz2
tar xf kokoro-multi-lang-v1_0.tar.bz2
rm kokoro-multi-lang-v1_0.tar.bz2
export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
./kokoro-tts-zh-en-cxx-api
rm kokoro-tts-zh-en-cxx-api
rm -rf kokoro-*
- name: Test Kokoro TTS (en)
shell: bash
run: |
... ...
... ... @@ -26,7 +26,7 @@ int32_t main() {
memset(&config, 0, sizeof(config));
config.model_config.transducer.encoder =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"encoder-epoch-12-avg-2-chunk-16-left-64.onnx";
"encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
config.model_config.transducer.decoder =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
... ... @@ -34,7 +34,7 @@ int32_t main() {
config.model_config.transducer.joiner =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"joiner-epoch-12-avg-2-chunk-16-left-64.onnx";
"joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
config.model_config.tokens =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
... ... @@ -58,7 +58,8 @@ int32_t main() {
"--Test pre-defined keywords from test_wavs/test_keywords.txt--\n");
const char *wav_filename =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/3.wav";
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"test_wavs/3.wav";
float tail_paddings[8000] = {0}; // 0.5 seconds
... ...
... ... @@ -27,4 +27,7 @@ if(SHERPA_ONNX_ENABLE_TTS)
add_executable(kokoro-tts-en-cxx-api ./kokoro-tts-en-cxx-api.cc)
target_link_libraries(kokoro-tts-en-cxx-api sherpa-onnx-cxx-api)
add_executable(kokoro-tts-zh-en-cxx-api ./kokoro-tts-zh-en-cxx-api.cc)
target_link_libraries(kokoro-tts-zh-en-cxx-api sherpa-onnx-cxx-api)
endif()
... ...
// cxx-api-examples/kokoro-tts-zh-en-cxx-api.c
//
// Copyright (c) 2025 Xiaomi Corporation
// This file shows how to use sherpa-onnx CXX API
// for Chinese TTS with Kokoro.
//
// clang-format off
/*
Usage
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/kokoro-multi-lang-v1_0.tar.bz2
tar xf kokoro-multi-lang-v1_0.tar.bz2
rm kokoro-multi-lang-v1_0.tar.bz2
./kokoro-tts-zh-en-cxx-api
*/
// clang-format on
#include <string>
#include "sherpa-onnx/c-api/cxx-api.h"
static int32_t ProgressCallback(const float *samples, int32_t num_samples,
float progress, void *arg) {
fprintf(stderr, "Progress: %.3f%%\n", progress * 100);
// return 1 to continue generating
// return 0 to stop generating
return 1;
}
int32_t main(int32_t argc, char *argv[]) {
using namespace sherpa_onnx::cxx; // NOLINT
OfflineTtsConfig config;
config.model.kokoro.model = "./kokoro-multi-lang-v1_0/model.onnx";
config.model.kokoro.voices = "./kokoro-multi-lang-v1_0/voices.bin";
config.model.kokoro.tokens = "./kokoro-multi-lang-v1_0/tokens.txt";
config.model.kokoro.data_dir = "./kokoro-multi-lang-v1_0/espeak-ng-data";
config.model.kokoro.dict_dir = "./kokoro-multi-lang-v1_0/dict";
config.model.kokoro.lexicon =
"./kokoro-multi-lang-v1_0/lexicon-us-en.txt,./kokoro-multi-lang-v1_0/"
"lexicon-zh.txt";
config.model.num_threads = 2;
// If you don't want to see debug messages, please set it to 0
config.model.debug = 1;
std::string filename = "./generated-kokoro-zh-en-cxx.wav";
std::string text =
"中英文语音合成测试。This is generated by next generation Kaldi using "
"Kokoro without Misaki. 你觉得中英文说的如何呢?";
auto tts = OfflineTts::Create(config);
int32_t sid = 50;
float speed = 1.0; // larger -> faster in speech speed
#if 0
// If you don't want to use a callback, then please enable this branch
GeneratedAudio audio = tts.Generate(text, sid, speed);
#else
GeneratedAudio audio = tts.Generate(text, sid, speed, ProgressCallback);
#endif
WriteWave(filename, {audio.samples, audio.sample_rate});
fprintf(stderr, "Input text is: %s\n", text.c_str());
fprintf(stderr, "Speaker ID is is: %d\n", sid);
fprintf(stderr, "Saved to: %s\n", filename.c_str());
return 0;
}
... ...
... ... @@ -25,7 +25,7 @@ int32_t main() {
KeywordSpotterConfig config;
config.model_config.transducer.encoder =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"encoder-epoch-12-avg-2-chunk-16-left-64.onnx";
"encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
config.model_config.transducer.decoder =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
... ... @@ -33,7 +33,7 @@ int32_t main() {
config.model_config.transducer.joiner =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"joiner-epoch-12-avg-2-chunk-16-left-64.onnx";
"joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
config.model_config.tokens =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
... ... @@ -57,7 +57,8 @@ int32_t main() {
<< "--Test pre-defined keywords from test_wavs/test_keywords.txt--\n";
std::string wave_filename =
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/3.wav";
"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"test_wavs/3.wav";
std::array<float, 8000> tail_paddings = {0}; // 0.5 seconds
... ...
... ... @@ -343,6 +343,8 @@ OfflineTts OfflineTts::Create(const OfflineTtsConfig &config) {
c.model.kokoro.tokens = config.model.kokoro.tokens.c_str();
c.model.kokoro.data_dir = config.model.kokoro.data_dir.c_str();
c.model.kokoro.length_scale = config.model.kokoro.length_scale;
c.model.kokoro.dict_dir = config.model.kokoro.dict_dir.c_str();
c.model.kokoro.lexicon = config.model.kokoro.lexicon.c_str();
c.model.num_threads = config.model.num_threads;
c.model.debug = config.model.debug;
... ...
... ... @@ -343,6 +343,8 @@ struct OfflineTtsKokoroModelConfig {
std::string voices;
std::string tokens;
std::string data_dir;
std::string dict_dir;
std::string lexicon;
float length_scale = 1.0; // < 1, faster in speed; > 1, slower in speed
};
... ...