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Add Java API for Matcha-TTS models. (#1673)
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csukuangfj authored Jan 2, 2025
1 parent f457bae commit a00d3b4
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7 changes: 7 additions & 0 deletions .github/workflows/run-java-test.yaml
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Expand Up @@ -235,6 +235,13 @@ jobs:
shell: bash
run: |
cd ./java-api-examples
./run-non-streaming-tts-matcha-zh.sh
./run-non-streaming-tts-matcha-en.sh
rm -rf matcha-icefall-*
rm hifigan_v2.onnx
./run-non-streaming-tts-piper-en.sh
rm -rf vits-piper-*
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1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -126,3 +126,4 @@ sherpa-onnx-moonshine-base-en-int8
harmony-os/SherpaOnnxHar/sherpa_onnx/LICENSE
harmony-os/SherpaOnnxHar/sherpa_onnx/CHANGELOG.md
matcha-icefall-zh-baker
matcha-icefall-en_US-ljspeech
60 changes: 60 additions & 0 deletions java-api-examples/NonStreamingTtsMatchaEn.java
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// Copyright 2025 Xiaomi Corporation

// This file shows how to use a matcha English model
// to convert text to speech
import com.k2fsa.sherpa.onnx.*;

public class NonStreamingTtsMatchaEn {
public static void main(String[] args) {
// please visit
// https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/matcha.html#matcha-icefall-en-us-ljspeech-american-english-1-female-speaker
// to download model files
String acousticModel = "./matcha-icefall-en_US-ljspeech/model-steps-3.onnx";
String vocoder = "./hifigan_v2.onnx";
String tokens = "./matcha-icefall-en_US-ljspeech/tokens.txt";
String dataDir = "./matcha-icefall-en_US-ljspeech/espeak-ng-data";
String 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.";

OfflineTtsMatchaModelConfig matchaModelConfig =
OfflineTtsMatchaModelConfig.builder()
.setAcousticModel(acousticModel)
.setVocoder(vocoder)
.setTokens(tokens)
.setDataDir(dataDir)
.build();

OfflineTtsModelConfig modelConfig =
OfflineTtsModelConfig.builder()
.setMatcha(matchaModelConfig)
.setNumThreads(1)
.setDebug(true)
.build();

OfflineTtsConfig config = OfflineTtsConfig.builder().setModel(modelConfig).build();
OfflineTts tts = new OfflineTts(config);

int sid = 0;
float speed = 1.0f;
long start = System.currentTimeMillis();
GeneratedAudio audio = tts.generate(text, sid, speed);
long stop = System.currentTimeMillis();

float timeElapsedSeconds = (stop - start) / 1000.0f;

float audioDuration = audio.getSamples().length / (float) audio.getSampleRate();
float real_time_factor = timeElapsedSeconds / audioDuration;

String waveFilename = "tts-matcha-en.wav";
audio.save(waveFilename);
System.out.printf("-- elapsed : %.3f seconds\n", timeElapsedSeconds);
System.out.printf("-- audio duration: %.3f seconds\n", timeElapsedSeconds);
System.out.printf("-- real-time factor (RTF): %.3f\n", real_time_factor);
System.out.printf("-- text: %s\n", text);
System.out.printf("-- Saved to %s\n", waveFilename);

tts.release();
}
}
66 changes: 66 additions & 0 deletions java-api-examples/NonStreamingTtsMatchaZh.java
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// Copyright 2025 Xiaomi Corporation

// This file shows how to use a matcha Chinese TTS model
// to convert text to speech
import com.k2fsa.sherpa.onnx.*;

public class NonStreamingTtsMatchaZh {
public static void main(String[] args) {
// please visit
// https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/matcha.html#matcha-icefall-zh-baker-chinese-1-female-speaker
// to download model files
String acousticModel = "./matcha-icefall-zh-baker/model-steps-3.onnx";
String vocoder = "./hifigan_v2.onnx";
String tokens = "./matcha-icefall-zh-baker/tokens.txt";
String lexicon = "./matcha-icefall-zh-baker/lexicon.txt";
String dictDir = "./matcha-icefall-zh-baker/dict";
String ruleFsts =
"./matcha-icefall-zh-baker/phone.fst,./matcha-icefall-zh-baker/date.fst,./matcha-icefall-zh-baker/number.fst";
String text =
"某某银行的副行长和一些行政领导表示,他们去过长江"
+ "和长白山; 经济不断增长。"
+ "2024年12月31号,拨打110或者18920240511。"
+ "123456块钱。";

OfflineTtsMatchaModelConfig matchaModelConfig =
OfflineTtsMatchaModelConfig.builder()
.setAcousticModel(acousticModel)
.setVocoder(vocoder)
.setTokens(tokens)
.setLexicon(lexicon)
.setDictDir(dictDir)
.build();

OfflineTtsModelConfig modelConfig =
OfflineTtsModelConfig.builder()
.setMatcha(matchaModelConfig)
.setNumThreads(1)
.setDebug(true)
.build();

OfflineTtsConfig config =
OfflineTtsConfig.builder().setModel(modelConfig).setRuleFsts(ruleFsts).build();
OfflineTts tts = new OfflineTts(config);

int sid = 0;
float speed = 1.0f;
long start = System.currentTimeMillis();
GeneratedAudio audio = tts.generate(text, sid, speed);
long stop = System.currentTimeMillis();

float timeElapsedSeconds = (stop - start) / 1000.0f;

float audioDuration = audio.getSamples().length / (float) audio.getSampleRate();
float real_time_factor = timeElapsedSeconds / audioDuration;

String waveFilename = "tts-matcha-zh.wav";
audio.save(waveFilename);
System.out.printf("-- elapsed : %.3f seconds\n", timeElapsedSeconds);
System.out.printf("-- audio duration: %.3f seconds\n", timeElapsedSeconds);
System.out.printf("-- real-time factor (RTF): %.3f\n", real_time_factor);
System.out.printf("-- text: %s\n", text);
System.out.printf("-- Saved to %s\n", waveFilename);

tts.release();
}
}
45 changes: 45 additions & 0 deletions java-api-examples/run-non-streaming-tts-matcha-en.sh
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#!/usr/bin/env bash

set -ex

if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
mkdir -p ../build
pushd ../build
cmake \
-DSHERPA_ONNX_ENABLE_PYTHON=OFF \
-DSHERPA_ONNX_ENABLE_TESTS=OFF \
-DSHERPA_ONNX_ENABLE_CHECK=OFF \
-DBUILD_SHARED_LIBS=ON \
-DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
-DSHERPA_ONNX_ENABLE_JNI=ON \
..

make -j4
ls -lh lib
popd
fi

if [ ! -f ../sherpa-onnx/java-api/build/sherpa-onnx.jar ]; then
pushd ../sherpa-onnx/java-api
make
popd
fi

# please visit
# https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/matcha.html#matcha-icefall-en-us-ljspeech-american-english-1-female-speaker
# matcha.html#matcha-icefall-en-us-ljspeech-american-english-1-female-speaker
# to download more models
if [ ! -f ./matcha-icefall-en_US-ljspeech/model-steps-3.onnx ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/matcha-icefall-en_US-ljspeech.tar.bz2
tar xvf matcha-icefall-en_US-ljspeech.tar.bz2
rm matcha-icefall-en_US-ljspeech.tar.bz2
fi

if [ ! -f ./hifigan_v2.onnx ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
fi

java \
-Djava.library.path=$PWD/../build/lib \
-cp ../sherpa-onnx/java-api/build/sherpa-onnx.jar \
NonStreamingTtsMatchaEn.java
44 changes: 44 additions & 0 deletions java-api-examples/run-non-streaming-tts-matcha-zh.sh
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#!/usr/bin/env bash

set -ex

if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
mkdir -p ../build
pushd ../build
cmake \
-DSHERPA_ONNX_ENABLE_PYTHON=OFF \
-DSHERPA_ONNX_ENABLE_TESTS=OFF \
-DSHERPA_ONNX_ENABLE_CHECK=OFF \
-DBUILD_SHARED_LIBS=ON \
-DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
-DSHERPA_ONNX_ENABLE_JNI=ON \
..

make -j4
ls -lh lib
popd
fi

if [ ! -f ../sherpa-onnx/java-api/build/sherpa-onnx.jar ]; then
pushd ../sherpa-onnx/java-api
make
popd
fi

# please visit
# https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/matcha.html#matcha-icefall-zh-baker-chinese-1-female-speaker
# to download more models
if [ ! -f ./matcha-icefall-zh-baker/model-steps-3.onnx ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/matcha-icefall-zh-baker.tar.bz2
tar xvf matcha-icefall-zh-baker.tar.bz2
rm matcha-icefall-zh-baker.tar.bz2
fi

if [ ! -f ./hifigan_v2.onnx ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
fi

java \
-Djava.library.path=$PWD/../build/lib \
-cp ../sherpa-onnx/java-api/build/sherpa-onnx.jar \
NonStreamingTtsMatchaZh.java
5 changes: 5 additions & 0 deletions sherpa-onnx/csrc/piper-phonemize-lexicon.cc
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Expand Up @@ -366,6 +366,11 @@ template PiperPhonemizeLexicon::PiperPhonemizeLexicon(
#endif

#if __OHOS__
template PiperPhonemizeLexicon::PiperPhonemizeLexicon(
NativeResourceManager *mgr, const std::string &tokens,
const std::string &data_dir,
const OfflineTtsVitsModelMetaData &vits_meta_data);

template PiperPhonemizeLexicon::PiperPhonemizeLexicon(
NativeResourceManager *mgr, const std::string &tokens,
const std::string &data_dir,
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1 change: 1 addition & 0 deletions sherpa-onnx/java-api/Makefile
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Expand Up @@ -35,6 +35,7 @@ java_files += OfflineRecognizerResult.java
java_files += OfflineStream.java
java_files += OfflineRecognizer.java

java_files += OfflineTtsMatchaModelConfig.java
java_files += OfflineTtsVitsModelConfig.java
java_files += OfflineTtsModelConfig.java
java_files += OfflineTtsConfig.java
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// Copyright 2025 Xiaomi Corporation

package com.k2fsa.sherpa.onnx;

public class OfflineTtsMatchaModelConfig {
private final String acousticModel;
private final String vocoder;
private final String lexicon;
private final String tokens;
private final String dataDir;
private final String dictDir;
private final float noiseScale;
private final float lengthScale;

private OfflineTtsMatchaModelConfig(Builder builder) {
this.acousticModel = builder.acousticModel;
this.vocoder = builder.vocoder;
this.lexicon = builder.lexicon;
this.tokens = builder.tokens;
this.dataDir = builder.dataDir;
this.dictDir = builder.dictDir;
this.noiseScale = builder.noiseScale;
this.lengthScale = builder.lengthScale;
}

public static Builder builder() {
return new Builder();
}

public String getAcousticModel() {
return acousticModel;
}

public String getVocoder() {
return vocoder;
}

public String getLexicon() {
return lexicon;
}

public String getTokens() {
return tokens;
}

public String getDataDir() {
return dataDir;
}

public String getDictDir() {
return dictDir;
}

public float getLengthScale() {
return lengthScale;
}

public float getNoiseScale() {
return noiseScale;
}

public static class Builder {
private String acousticModel = "";
private String vocoder = "";
private String lexicon = "";
private String tokens = "";
private String dataDir = "";
private String dictDir = "";
private float noiseScale = 1.0f;
private float lengthScale = 1.0f;

public OfflineTtsMatchaModelConfig build() {
return new OfflineTtsMatchaModelConfig(this);
}

public Builder setAcousticModel(String acousticModel) {
this.acousticModel = acousticModel;
return this;
}

public Builder setVocoder(String vocoder) {
this.vocoder = vocoder;
return this;
}

public Builder setTokens(String tokens) {
this.tokens = tokens;
return this;
}

public Builder setLexicon(String lexicon) {
this.lexicon = lexicon;
return this;
}

public Builder setDataDir(String dataDir) {
this.dataDir = dataDir;
return this;
}

public Builder setDictDir(String dictDir) {
this.dictDir = dictDir;
return this;
}

public Builder setNoiseScale(float noiseScale) {
this.noiseScale = noiseScale;
return this;
}

public Builder setLengthScale(float lengthScale) {
this.lengthScale = lengthScale;
return this;
}
}
}
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