Add CXX API for Kokoro TTS 1.0 (#1802)
This commit is contained in:
22
.github/workflows/cxx-api.yaml
vendored
22
.github/workflows/cxx-api.yaml
vendored
@@ -103,6 +103,28 @@ jobs:
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rm kws-cxx-api
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rm kws-cxx-api
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rm -rf sherpa-onnx-kws-*
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rm -rf sherpa-onnx-kws-*
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- name: Test Kokoro TTS (zh+en)
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shell: bash
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run: |
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g++ -std=c++17 -o kokoro-tts-zh-en-cxx-api ./cxx-api-examples/kokoro-tts-zh-en-cxx-api.cc \
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-I ./build/install/include \
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-L ./build/install/lib/ \
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-l sherpa-onnx-cxx-api \
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-l sherpa-onnx-c-api \
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-l onnxruntime
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curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/kokoro-multi-lang-v1_0.tar.bz2
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tar xf kokoro-multi-lang-v1_0.tar.bz2
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rm kokoro-multi-lang-v1_0.tar.bz2
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export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
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export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
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./kokoro-tts-zh-en-cxx-api
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rm kokoro-tts-zh-en-cxx-api
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rm -rf kokoro-*
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- name: Test Kokoro TTS (en)
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- name: Test Kokoro TTS (en)
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shell: bash
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shell: bash
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run: |
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run: |
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@@ -26,7 +26,7 @@ int32_t main() {
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memset(&config, 0, sizeof(config));
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memset(&config, 0, sizeof(config));
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config.model_config.transducer.encoder =
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config.model_config.transducer.encoder =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"encoder-epoch-12-avg-2-chunk-16-left-64.onnx";
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"encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
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config.model_config.transducer.decoder =
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config.model_config.transducer.decoder =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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@@ -34,7 +34,7 @@ int32_t main() {
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config.model_config.transducer.joiner =
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config.model_config.transducer.joiner =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"joiner-epoch-12-avg-2-chunk-16-left-64.onnx";
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"joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
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config.model_config.tokens =
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config.model_config.tokens =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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@@ -58,7 +58,8 @@ int32_t main() {
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"--Test pre-defined keywords from test_wavs/test_keywords.txt--\n");
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"--Test pre-defined keywords from test_wavs/test_keywords.txt--\n");
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const char *wav_filename =
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const char *wav_filename =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/3.wav";
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"test_wavs/3.wav";
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float tail_paddings[8000] = {0}; // 0.5 seconds
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float tail_paddings[8000] = {0}; // 0.5 seconds
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@@ -27,4 +27,7 @@ if(SHERPA_ONNX_ENABLE_TTS)
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add_executable(kokoro-tts-en-cxx-api ./kokoro-tts-en-cxx-api.cc)
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add_executable(kokoro-tts-en-cxx-api ./kokoro-tts-en-cxx-api.cc)
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target_link_libraries(kokoro-tts-en-cxx-api sherpa-onnx-cxx-api)
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target_link_libraries(kokoro-tts-en-cxx-api sherpa-onnx-cxx-api)
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add_executable(kokoro-tts-zh-en-cxx-api ./kokoro-tts-zh-en-cxx-api.cc)
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target_link_libraries(kokoro-tts-zh-en-cxx-api sherpa-onnx-cxx-api)
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endif()
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endif()
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74
cxx-api-examples/kokoro-tts-zh-en-cxx-api.cc
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74
cxx-api-examples/kokoro-tts-zh-en-cxx-api.cc
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@@ -0,0 +1,74 @@
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// cxx-api-examples/kokoro-tts-zh-en-cxx-api.c
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//
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// Copyright (c) 2025 Xiaomi Corporation
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// This file shows how to use sherpa-onnx CXX API
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// for Chinese TTS with Kokoro.
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//
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// clang-format off
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/*
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Usage
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/kokoro-multi-lang-v1_0.tar.bz2
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tar xf kokoro-multi-lang-v1_0.tar.bz2
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rm kokoro-multi-lang-v1_0.tar.bz2
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./kokoro-tts-zh-en-cxx-api
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*/
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// clang-format on
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#include <string>
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#include "sherpa-onnx/c-api/cxx-api.h"
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static int32_t ProgressCallback(const float *samples, int32_t num_samples,
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float progress, void *arg) {
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fprintf(stderr, "Progress: %.3f%%\n", progress * 100);
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// return 1 to continue generating
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// return 0 to stop generating
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return 1;
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}
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int32_t main(int32_t argc, char *argv[]) {
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using namespace sherpa_onnx::cxx; // NOLINT
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OfflineTtsConfig config;
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config.model.kokoro.model = "./kokoro-multi-lang-v1_0/model.onnx";
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config.model.kokoro.voices = "./kokoro-multi-lang-v1_0/voices.bin";
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config.model.kokoro.tokens = "./kokoro-multi-lang-v1_0/tokens.txt";
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config.model.kokoro.data_dir = "./kokoro-multi-lang-v1_0/espeak-ng-data";
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config.model.kokoro.dict_dir = "./kokoro-multi-lang-v1_0/dict";
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config.model.kokoro.lexicon =
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"./kokoro-multi-lang-v1_0/lexicon-us-en.txt,./kokoro-multi-lang-v1_0/"
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"lexicon-zh.txt";
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config.model.num_threads = 2;
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// If you don't want to see debug messages, please set it to 0
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config.model.debug = 1;
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std::string filename = "./generated-kokoro-zh-en-cxx.wav";
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std::string text =
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"中英文语音合成测试。This is generated by next generation Kaldi using "
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"Kokoro without Misaki. 你觉得中英文说的如何呢?";
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auto tts = OfflineTts::Create(config);
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int32_t sid = 50;
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float speed = 1.0; // larger -> faster in speech speed
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#if 0
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// If you don't want to use a callback, then please enable this branch
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GeneratedAudio audio = tts.Generate(text, sid, speed);
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#else
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GeneratedAudio audio = tts.Generate(text, sid, speed, ProgressCallback);
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#endif
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WriteWave(filename, {audio.samples, audio.sample_rate});
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fprintf(stderr, "Input text is: %s\n", text.c_str());
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fprintf(stderr, "Speaker ID is is: %d\n", sid);
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fprintf(stderr, "Saved to: %s\n", filename.c_str());
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return 0;
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}
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@@ -25,7 +25,7 @@ int32_t main() {
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KeywordSpotterConfig config;
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KeywordSpotterConfig config;
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config.model_config.transducer.encoder =
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config.model_config.transducer.encoder =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"encoder-epoch-12-avg-2-chunk-16-left-64.onnx";
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"encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
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config.model_config.transducer.decoder =
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config.model_config.transducer.decoder =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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@@ -33,7 +33,7 @@ int32_t main() {
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config.model_config.transducer.joiner =
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config.model_config.transducer.joiner =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"joiner-epoch-12-avg-2-chunk-16-left-64.onnx";
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"joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
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config.model_config.tokens =
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config.model_config.tokens =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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@@ -57,7 +57,8 @@ int32_t main() {
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<< "--Test pre-defined keywords from test_wavs/test_keywords.txt--\n";
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<< "--Test pre-defined keywords from test_wavs/test_keywords.txt--\n";
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std::string wave_filename =
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std::string wave_filename =
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/3.wav";
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"./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
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"test_wavs/3.wav";
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std::array<float, 8000> tail_paddings = {0}; // 0.5 seconds
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std::array<float, 8000> tail_paddings = {0}; // 0.5 seconds
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@@ -343,6 +343,8 @@ OfflineTts OfflineTts::Create(const OfflineTtsConfig &config) {
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c.model.kokoro.tokens = config.model.kokoro.tokens.c_str();
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c.model.kokoro.tokens = config.model.kokoro.tokens.c_str();
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c.model.kokoro.data_dir = config.model.kokoro.data_dir.c_str();
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c.model.kokoro.data_dir = config.model.kokoro.data_dir.c_str();
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c.model.kokoro.length_scale = config.model.kokoro.length_scale;
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c.model.kokoro.length_scale = config.model.kokoro.length_scale;
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c.model.kokoro.dict_dir = config.model.kokoro.dict_dir.c_str();
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c.model.kokoro.lexicon = config.model.kokoro.lexicon.c_str();
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c.model.num_threads = config.model.num_threads;
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c.model.num_threads = config.model.num_threads;
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c.model.debug = config.model.debug;
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c.model.debug = config.model.debug;
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@@ -343,6 +343,8 @@ struct OfflineTtsKokoroModelConfig {
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std::string voices;
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std::string voices;
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std::string tokens;
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std::string tokens;
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std::string data_dir;
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std::string data_dir;
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std::string dict_dir;
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std::string lexicon;
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float length_scale = 1.0; // < 1, faster in speed; > 1, slower in speed
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float length_scale = 1.0; // < 1, faster in speed; > 1, slower in speed
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};
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};
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