Add Java API for Matcha-TTS models. (#1673)

@@ -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-*
 

@@ -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

+// 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();
+  }
+}

+// 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();
+  }
+}

+#!/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

+#!/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

@@ -369,6 +369,11 @@ template PiperPhonemizeLexicon::PiperPhonemizeLexicon(
 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,
     const OfflineTtsMatchaModelMetaData &matcha_meta_data);
 #endif
 

@@ -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

+// 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;
+        }
+    }
+}

@@ -4,12 +4,14 @@ package com.k2fsa.sherpa.onnx;
 
 public class OfflineTtsModelConfig {
     private final OfflineTtsVitsModelConfig vits;
+    private final OfflineTtsMatchaModelConfig matcha;
     private final int numThreads;
     private final boolean debug;
     private final String provider;
 
     private OfflineTtsModelConfig(Builder builder) {
         this.vits = builder.vits;
+        this.matcha = builder.matcha;
         this.numThreads = builder.numThreads;
         this.debug = builder.debug;
         this.provider = builder.provider;
@@ -23,8 +25,13 @@ public class OfflineTtsModelConfig {
         return vits;
     }
 
+    public OfflineTtsMatchaModelConfig getMatcha() {
+        return matcha;
+    }
+
     public static class Builder {
         private OfflineTtsVitsModelConfig vits = OfflineTtsVitsModelConfig.builder().build();
+        private OfflineTtsMatchaModelConfig matcha = OfflineTtsMatchaModelConfig.builder().build();
         private int numThreads = 1;
         private boolean debug = true;
         private String provider = "cpu";
@@ -38,6 +45,11 @@ public class OfflineTtsModelConfig {
             return this;
         }
 
+        public Builder setMatcha(OfflineTtsMatchaModelConfig matcha) {
+            this.matcha = matcha;
+            return this;
+        }
+
         public Builder setNumThreads(int numThreads) {
             this.numThreads = numThreads;
             return this;

@@ -60,9 +60,9 @@ public class OfflineTtsVitsModelConfig {
     }
 
     public static class Builder {
-        private String model;
+        private String model = "";
         private String lexicon = "";
-        private String tokens;
+        private String tokens = "";
         private String dataDir = "";
         private String dictDir = "";
         private float noiseScale = 0.667f;