Add C# and JavaScript (wasm) API for MatchaTTS models (#1682)

2025-01-05 15:08:19 +08:00
parent 1ef9e5ee3a
commit 3eced3e7ee
26 changed files with 677 additions and 88 deletions
--- a/.github/scripts/test-dot-net.sh
+++ b/.github/scripts/test-dot-net.sh
@@ -2,7 +2,27 @@

 cd dotnet-examples/

-cd ./offline-speaker-diarization
+cd ./offline-tts
+./run-matcha-zh.sh
+ls -lh *.wav
+./run-matcha-en.sh
+ls -lh *.wav
+./run-aishell3.sh
+ls -lh *.wav
+./run-piper.sh
+ls -lh *.wav
+./run-hf-fanchen.sh
+ls -lh *.wav
+ls -lh
+
+pushd ../..
+
+mkdir tts
+
+cp dotnet-examples/offline-tts/*.wav ./tts
+popd
+
+cd ../offline-speaker-diarization
 ./run.sh
 rm -rfv *.onnx
 rm -fv *.wav
@@ -76,14 +96,4 @@ cd ../spoken-language-identification
 ./run.sh
 rm -rf sherpa-onnx-*

-cd ../offline-tts
-./run-aishell3.sh
-./run-piper.sh
-./run-hf-fanchen.sh
-ls -lh

-cd ../..
-
-mkdir tts
-
-cp dotnet-examples/offline-tts/*.wav ./tts
--- a/.github/scripts/test-nodejs-npm.sh
+++ b/.github/scripts/test-nodejs-npm.sh
@@ -9,6 +9,48 @@ git status
 ls -lh
 ls -lh node_modules

+# offline tts
+#
+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
+
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
+
+node ./test-offline-tts-matcha-zh.js
+
+rm -rf matcha-icefall-zh-baker
+rm hifigan_v2.onnx
+
+echo "---"
+
+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
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
+
+node ./test-offline-tts-matcha-en.js
+
+rm -rf matcha-icefall-en_US-ljspeech
+rm hifigan_v2.onnx
+
+echo "---"
+
+curl -LS -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-amy-low.tar.bz2
+tar xf vits-piper-en_US-amy-low.tar.bz2
+node ./test-offline-tts-vits-en.js
+rm -rf vits-piper-en_US-amy-low*
+
+echo "---"
+
+curl -LS -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-icefall-zh-aishell3.tar.bz2
+tar xvf vits-icefall-zh-aishell3.tar.bz2
+node ./test-offline-tts-vits-zh.js
+rm -rf vits-icefall-zh-aishell3*
+
+ls -lh *.wav
+
 echo '-----speaker diarization----------'
 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
 tar xvf sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
@@ -147,15 +189,3 @@ tar xvf sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
 rm sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
 node ./test-online-zipformer2-ctc-hlg.js
 rm -rf sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18
-
-# offline tts
-
-curl -LS -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-amy-low.tar.bz2
-tar xf vits-piper-en_US-amy-low.tar.bz2
-node ./test-offline-tts-en.js
-rm -rf vits-piper-en_US-amy-low*
-
-curl -LS -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-icefall-zh-aishell3.tar.bz2
-tar xvf vits-icefall-zh-aishell3.tar.bz2
-node ./test-offline-tts-zh.js
-rm -rf vits-icefall-zh-aishell3*
--- a/.github/workflows/test-dot-net.yaml
+++ b/.github/workflows/test-dot-net.yaml
@@ -92,6 +92,50 @@ jobs:
        python-version: ["3.8"]

    steps:
+      - name: Check space
+        shell: bash
+        run: |
+          df -h
+
+      - name: Free space
+        shell: bash
+        run: |
+          df -h
+          rm -rf /opt/hostedtoolcache
+          df -h
+
+      - name: Free more space
+        shell: bash
+        run: |
+          # https://github.com/orgs/community/discussions/25678
+          cd /opt
+          find . -maxdepth 1 -mindepth 1 '!' -path ./containerd '!' -path ./actionarchivecache '!' -path ./runner '!' -path ./runner-cache -exec rm -rf '{}' ';'
+
+          sudo rm -rf /usr/share/dotnet
+          sudo rm -rf "/usr/local/share/boost"
+          sudo rm -rf "$AGENT_TOOLSDIRECTORY"
+
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: false
+
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: true
+          dotnet: false
+          haskell: true
+          large-packages: true
+          docker-images: false
+          swap-storage: true
+
+      - name: Check space
+        shell: bash
+        run: |
+          df -h
+
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
--- a/dotnet-examples/offline-tts-play/Program.cs
+++ b/dotnet-examples/offline-tts-play/Program.cs
@@ -21,48 +21,56 @@ class OfflineTtsPlayDemo
 {
  class Options
  {
-
    [Option("tts-rule-fsts", Required = false, Default = "", HelpText = "path to rule.fst")]
-    public string? RuleFsts { get; set; }
+    public string RuleFsts { get; set; } = string.Empty;

-    [Option("vits-dict-dir", Required = false, Default = "", HelpText = "Path to the directory containing dict for jieba.")]
-    public string? DictDir { get; set; }
+    [Option("tts-rule-fars", Required = false, Default = "", HelpText = "path to rule.far")]
+    public string RuleFars { get; set; } = string.Empty;

-    [Option("vits-data-dir", Required = false, Default = "", HelpText = "Path to the directory containing dict for espeak-ng.")]
-    public string? DataDir { get; set; }
+    [Option("dict-dir", Required = false, Default = "", HelpText = "Path to the directory containing dict for jieba.")]
+    public string DictDir { get; set; } = string.Empty;

-    [Option("vits-length-scale", Required = false, Default = 1, HelpText = "speech speed. Larger->Slower; Smaller->faster")]
-    public float LengthScale { get; set; }
+    [Option("data-dir", Required = false, Default = "", HelpText = "Path to the directory containing dict for espeak-ng.")]
+    public string DataDir { get; set; } = string.Empty;

-    [Option("vits-noise-scale", Required = false, Default = 0.667f, HelpText = "noise_scale for VITS models")]
-    public float NoiseScale { get; set; }
+    [Option("length-scale", Required = false, Default = 1, HelpText = "speech speed. Larger->Slower; Smaller->faster")]
+    public float LengthScale { get; set; } = 1;

-    [Option("vits-noise-scale-w", Required = false, Default = 0.8f, HelpText = "noise_scale_w for VITS models")]
-    public float NoiseScaleW { get; set; }
+    [Option("noise-scale", Required = false, Default = 0.667f, HelpText = "noise_scale for VITS or Matcha models")]
+    public float NoiseScale { get; set; } = 0.667F;

-    [Option("vits-lexicon", Required = false, Default = "", HelpText = "Path to lexicon.txt")]
-    public string? Lexicon { get; set; }
+    [Option("vits-noise-scale-w", Required = false, Default = 0.8F, HelpText = "noise_scale_w for VITS models")]
+    public float NoiseScaleW { get; set; } = 0.8F;

-    [Option("vits-tokens", Required = false, Default = "", HelpText = "Path to tokens.txt")]
-    public string? Tokens { get; set; }
+    [Option("lexicon", Required = false, Default = "", HelpText = "Path to lexicon.txt")]
+    public string Lexicon { get; set; } = string.Empty;
+
+    [Option("tokens", Required = true, Default = "", HelpText = "Path to tokens.txt")]
+    public string Tokens { get; set; } = string.Empty;

    [Option("tts-max-num-sentences", Required = false, Default = 1, HelpText = "Maximum number of sentences that we process at a time.")]
-    public int MaxNumSentences { get; set; }
+    public int MaxNumSentences { get; set; } = 1;

    [Option(Required = false, Default = 0, HelpText = "1 to show debug messages.")]
-    public int Debug { get; set; }
+    public int Debug { get; set; } = 0;

-    [Option("vits-model", Required = true, HelpText = "Path to VITS model")]
-    public string? Model { get; set; }
+    [Option("vits-model", Required = false, HelpText = "Path to VITS model")]
+    public string Model { get; set; } = string.Empty;
+
+    [Option("matcha-acoustic-model", Required = false, HelpText = "Path to the acoustic model of Matcha")]
+    public string AcousticModel { get; set; } = "";
+
+    [Option("matcha-vocoder", Required = false, HelpText = "Path to the vocoder model of Matcha")]
+    public string Vocoder { get; set; } = "";

    [Option("sid", Required = false, Default = 0, HelpText = "Speaker ID")]
-    public int SpeakerId { get; set; }
+    public int SpeakerId { get; set; } = 0;

    [Option("text", Required = true, HelpText = "Text to synthesize")]
-    public string? Text { get; set; }
+    public string Text { get; set; } = string.Empty;

    [Option("output-filename", Required = true, Default = "./generated.wav", HelpText = "Path to save the generated audio")]
-    public string? OutputFilename { get; set; }
+    public string OutputFilename { get; set; } = "./generated.wav";
  }

  static void Main(string[] args)
@@ -78,6 +86,42 @@ class OfflineTtsPlayDemo
  private static void DisplayHelp<T>(ParserResult<T> result, IEnumerable<Error> errs)
  {
    string usage = @"
+# matcha-icefall-zh-baker
+
+wget 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
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
+
+dotnet run \
+  --matcha-acoustic-model=./matcha-icefall-zh-baker/model-steps-3.onnx \
+  --matcha-vocoder=./hifigan_v2.onnx \
+  --lexicon=./matcha-icefall-zh-baker/lexicon.txt \
+  --tokens=./matcha-icefall-zh-baker/tokens.txt \
+  --dict-dir=./matcha-icefall-zh-baker/dict \
+  --tts-rule-fsts=./matcha-icefall-zh-baker/phone.fst,./matcha-icefall-zh-baker/date.fst,./matcha-icefall-zh-baker/number.fst \
+  --debug=1 \
+  --output-filename=./matcha-zh.wav \
+  --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。'
+
+# matcha-icefall-en_US-ljspeech
+
+wget 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
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
+
+dotnet run \
+  --matcha-acoustic-model=./matcha-icefall-en_US-ljspeech/model-steps-3.onnx \
+  --matcha-vocoder=./hifigan_v2.onnx \
+  --tokens=./matcha-icefall-zh-baker/tokens.txt \
+  --data-dir=./matcha-icefall-en_US-ljspeech/espeak-ng-data \
+  --debug=1 \
+  --output-filename=./matcha-zh.wav \
+  --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.'
+
 # vits-aishell3

 wget -qq https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-zh-aishell3.tar.bz2
@@ -85,8 +129,8 @@ tar xf vits-zh-aishell3.tar.bz2

 dotnet run \
  --vits-model=./vits-zh-aishell3/vits-aishell3.onnx \
-  --vits-tokens=./vits-zh-aishell3/tokens.txt \
-  --vits-lexicon=./vits-zh-aishell3/lexicon.txt \
+  --tokens=./vits-zh-aishell3/tokens.txt \
+  --lexicon=./vits-zh-aishell3/lexicon.txt \
  --tts-rule-fsts=./vits-zh-aishell3/rule.fst \
  --sid=66 \
  --debug=1 \
@@ -100,8 +144,8 @@ tar xf vits-piper-en_US-amy-low.tar.bz2

 dotnet run \
  --vits-model=./vits-piper-en_US-amy-low/en_US-amy-low.onnx \
-  --vits-tokens=./vits-piper-en_US-amy-low/tokens.txt \
-  --vits-data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
+  ---tokens=./vits-piper-en_US-amy-low/tokens.txt \
+  --data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
  --debug=1 \
  --output-filename=./amy.wav \
  --text='This is a text to speech application in dotnet with Next Generation Kaldi'
@@ -124,6 +168,7 @@ to download more models.
  private static void Run(Options options)
  {
    var config = new OfflineTtsConfig();
+
    config.Model.Vits.Model = options.Model;
    config.Model.Vits.Lexicon = options.Lexicon;
    config.Model.Vits.Tokens = options.Tokens;
@@ -132,6 +177,16 @@ to download more models.
    config.Model.Vits.NoiseScale = options.NoiseScale;
    config.Model.Vits.NoiseScaleW = options.NoiseScaleW;
    config.Model.Vits.LengthScale = options.LengthScale;
+
+    config.Model.Matcha.AcousticModel = options.AcousticModel;
+    config.Model.Matcha.Vocoder = options.Vocoder;
+    config.Model.Matcha.Lexicon = options.Lexicon;
+    config.Model.Matcha.Tokens = options.Tokens;
+    config.Model.Matcha.DataDir = options.DataDir;
+    config.Model.Matcha.DictDir = options.DictDir;
+    config.Model.Matcha.NoiseScale = options.NoiseScale;
+    config.Model.Matcha.LengthScale = options.LengthScale;
+
    config.Model.NumThreads = 1;
    config.Model.Debug = options.Debug;
    config.Model.Provider = "cpu";
--- a/dotnet-examples/offline-tts-play/run-hf-fanchen.sh
+++ b/dotnet-examples/offline-tts-play/run-hf-fanchen.sh
@@ -8,8 +8,8 @@ fi

 dotnet run \
  --vits-model=./vits-zh-hf-fanchen-C/vits-zh-hf-fanchen-C.onnx \
-  --vits-tokens=./vits-zh-hf-fanchen-C/tokens.txt \
-  --vits-lexicon=./vits-zh-hf-fanchen-C/lexicon.txt \
+  --tokens=./vits-zh-hf-fanchen-C/tokens.txt \
+  --lexicon=./vits-zh-hf-fanchen-C/lexicon.txt \
  --tts-rule-fsts=./vits-zh-hf-fanchen-C/phone.fst,./vits-zh-hf-fanchen-C/date.fst,./vits-zh-hf-fanchen-C/number.fst \
  --vits-dict-dir=./vits-zh-hf-fanchen-C/dict \
  --sid=100 \
--- a/dotnet-examples/offline-tts-play/run-matcha-en.sh
+++ b/dotnet-examples/offline-tts-play/run-matcha-en.sh
@@ -0,0 +1,26 @@
+#!/usr/bin/env bash
+set -ex
+
+
+# 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 xf 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
+
+dotnet run \
+  --matcha-acoustic-model=./matcha-icefall-en_US-ljspeech/model-steps-3.onnx \
+  --matcha-vocoder=./hifigan_v2.onnx \
+  --tokens=./matcha-icefall-en_US-ljspeech/tokens.txt \
+  --data-dir=./matcha-icefall-en_US-ljspeech/espeak-ng-data \
+  --debug=1 \
+  --output-filename=./matcha-en.wav \
+  --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.'
--- a/dotnet-examples/offline-tts-play/run-matcha-zh.sh
+++ b/dotnet-examples/offline-tts-play/run-matcha-zh.sh
@@ -0,0 +1,27 @@
+#!/usr/bin/env bash
+set -ex
+
+# 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
+
+
+dotnet run \
+  --matcha-acoustic-model=./matcha-icefall-zh-baker/model-steps-3.onnx \
+  --matcha-vocoder=./hifigan_v2.onnx \
+  --lexicon=./matcha-icefall-zh-baker/lexicon.txt \
+  --tokens=./matcha-icefall-zh-baker/tokens.txt \
+  --dict-dir=./matcha-icefall-zh-baker/dict \
+  --tts-rule-fsts=./matcha-icefall-zh-baker/phone.fst,./matcha-icefall-zh-baker/date.fst,./matcha-icefall-zh-baker/number.fst \
+  --debug=1 \
+  --output-filename=./matcha-zh.wav \
+  --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。"
--- a/dotnet-examples/offline-tts-play/run-piper.sh
+++ b/dotnet-examples/offline-tts-play/run-piper.sh
@@ -9,8 +9,8 @@ fi

 dotnet run \
  --vits-model=./vits-piper-en_US-amy-low/en_US-amy-low.onnx \
-  --vits-tokens=./vits-piper-en_US-amy-low/tokens.txt \
-  --vits-data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
+  --tokens=./vits-piper-en_US-amy-low/tokens.txt \
+  --data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
  --debug=1 \
  --output-filename=./amy.wav \
  --text="This is a text to speech application in dotnet with Next Generation Kaldi"
--- a/dotnet-examples/offline-tts/Program.cs
+++ b/dotnet-examples/offline-tts/Program.cs
@@ -20,25 +20,25 @@ class OfflineTtsDemo
    [Option("tts-rule-fars", Required = false, Default = "", HelpText = "path to rule.far")]
    public string RuleFars { get; set; } = string.Empty;

-    [Option("vits-dict-dir", Required = false, Default = "", HelpText = "Path to the directory containing dict for jieba.")]
+    [Option("dict-dir", Required = false, Default = "", HelpText = "Path to the directory containing dict for jieba.")]
    public string DictDir { get; set; } = string.Empty;

-    [Option("vits-data-dir", Required = false, Default = "", HelpText = "Path to the directory containing dict for espeak-ng.")]
+    [Option("data-dir", Required = false, Default = "", HelpText = "Path to the directory containing dict for espeak-ng.")]
    public string DataDir { get; set; } = string.Empty;

-    [Option("vits-length-scale", Required = false, Default = 1, HelpText = "speech speed. Larger->Slower; Smaller->faster")]
+    [Option("length-scale", Required = false, Default = 1, HelpText = "speech speed. Larger->Slower; Smaller->faster")]
    public float LengthScale { get; set; } = 1;

-    [Option("vits-noise-scale", Required = false, Default = 0.667f, HelpText = "noise_scale for VITS models")]
+    [Option("noise-scale", Required = false, Default = 0.667f, HelpText = "noise_scale for VITS or Matcha models")]
    public float NoiseScale { get; set; } = 0.667F;

    [Option("vits-noise-scale-w", Required = false, Default = 0.8F, HelpText = "noise_scale_w for VITS models")]
    public float NoiseScaleW { get; set; } = 0.8F;

-    [Option("vits-lexicon", Required = false, Default = "", HelpText = "Path to lexicon.txt")]
+    [Option("lexicon", Required = false, Default = "", HelpText = "Path to lexicon.txt")]
    public string Lexicon { get; set; } = string.Empty;

-    [Option("vits-tokens", Required = false, Default = "", HelpText = "Path to tokens.txt")]
+    [Option("tokens", Required = true, Default = "", HelpText = "Path to tokens.txt")]
    public string Tokens { get; set; } = string.Empty;

    [Option("tts-max-num-sentences", Required = false, Default = 1, HelpText = "Maximum number of sentences that we process at a time.")]
@@ -47,9 +47,15 @@ class OfflineTtsDemo
    [Option(Required = false, Default = 0, HelpText = "1 to show debug messages.")]
    public int Debug { get; set; } = 0;

-    [Option("vits-model", Required = true, HelpText = "Path to VITS model")]
+    [Option("vits-model", Required = false, HelpText = "Path to VITS model")]
    public string Model { get; set; } = string.Empty;

+    [Option("matcha-acoustic-model", Required = false, HelpText = "Path to the acoustic model of Matcha")]
+    public string AcousticModel { get; set; } = "";
+
+    [Option("matcha-vocoder", Required = false, HelpText = "Path to the vocoder model of Matcha")]
+    public string Vocoder { get; set; } = "";
+
    [Option("sid", Required = false, Default = 0, HelpText = "Speaker ID")]
    public int SpeakerId { get; set; } = 0;

@@ -73,6 +79,42 @@ class OfflineTtsDemo
  private static void DisplayHelp<T>(ParserResult<T> result, IEnumerable<Error> errs)
  {
    var usage = @"
+# matcha-icefall-zh-baker
+
+wget 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
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
+
+dotnet run \
+  --matcha-acoustic-model=./matcha-icefall-zh-baker/model-steps-3.onnx \
+  --matcha-vocoder=./hifigan_v2.onnx \
+  --lexicon=./matcha-icefall-zh-baker/lexicon.txt \
+  --tokens=./matcha-icefall-zh-baker/tokens.txt \
+  --dict-dir=./matcha-icefall-zh-baker/dict \
+  --tts-rule-fsts=./matcha-icefall-zh-baker/phone.fst,./matcha-icefall-zh-baker/date.fst,./matcha-icefall-zh-baker/number.fst \
+  --debug=1 \
+  --output-filename=./matcha-zh.wav \
+  --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。'
+
+# matcha-icefall-en_US-ljspeech
+
+wget 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
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
+
+dotnet run \
+  --matcha-acoustic-model=./matcha-icefall-en_US-ljspeech/model-steps-3.onnx \
+  --matcha-vocoder=./hifigan_v2.onnx \
+  --tokens=./matcha-icefall-zh-baker/tokens.txt \
+  --data-dir=./matcha-icefall-en_US-ljspeech/espeak-ng-data \
+  --debug=1 \
+  --output-filename=./matcha-zh.wav \
+  --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.'
+
 # vits-aishell3

 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-icefall-zh-aishell3.tar.bz2
@@ -80,8 +122,8 @@ tar xvf vits-icefall-zh-aishell3.tar.bz2

 dotnet run \
  --vits-model=./vits-icefall-zh-aishell3/model.onnx \
-  --vits-tokens=./vits-icefall-zh-aishell3/tokens.txt \
-  --vits-lexicon=./vits-icefall-zh-aishell3/lexicon.txt \
+  --tokens=./vits-icefall-zh-aishell3/tokens.txt \
+  --lexicon=./vits-icefall-zh-aishell3/lexicon.txt \
  --tts-rule-fsts=./vits-icefall-zh-aishell3/phone.fst,./vits-icefall-zh-aishell3/date.fst,./vits-icefall-zh-aishell3/number.fst \
  --tts-rule-fars=./vits-icefall-zh-aishell3/rule.far \
  --sid=66 \
@@ -96,8 +138,8 @@ tar xf vits-piper-en_US-amy-low.tar.bz2

 dotnet run \
  --vits-model=./vits-piper-en_US-amy-low/en_US-amy-low.onnx \
-  --vits-tokens=./vits-piper-en_US-amy-low/tokens.txt \
-  --vits-data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
+  --tokens=./vits-piper-en_US-amy-low/tokens.txt \
+  --data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
  --debug=1 \
  --output-filename=./amy.wav \
  --text='This is a text to speech application in dotnet with Next Generation Kaldi'
@@ -128,6 +170,16 @@ to download more models.
    config.Model.Vits.NoiseScale = options.NoiseScale;
    config.Model.Vits.NoiseScaleW = options.NoiseScaleW;
    config.Model.Vits.LengthScale = options.LengthScale;
+
+    config.Model.Matcha.AcousticModel = options.AcousticModel;
+    config.Model.Matcha.Vocoder = options.Vocoder;
+    config.Model.Matcha.Lexicon = options.Lexicon;
+    config.Model.Matcha.Tokens = options.Tokens;
+    config.Model.Matcha.DataDir = options.DataDir;
+    config.Model.Matcha.DictDir = options.DictDir;
+    config.Model.Matcha.NoiseScale = options.NoiseScale;
+    config.Model.Matcha.LengthScale = options.LengthScale;
+
    config.Model.NumThreads = 1;
    config.Model.Debug = options.Debug;
    config.Model.Provider = "cpu";
--- a/dotnet-examples/offline-tts/run-aishell3.sh
+++ b/dotnet-examples/offline-tts/run-aishell3.sh
@@ -8,8 +8,8 @@ fi

 dotnet run \
  --vits-model=./vits-icefall-zh-aishell3/model.onnx \
-  --vits-tokens=./vits-icefall-zh-aishell3/tokens.txt \
-  --vits-lexicon=./vits-icefall-zh-aishell3/lexicon.txt \
+  --tokens=./vits-icefall-zh-aishell3/tokens.txt \
+  --lexicon=./vits-icefall-zh-aishell3/lexicon.txt \
  --tts-rule-fsts=./vits-icefall-zh-aishell3/phone.fst,./vits-icefall-zh-aishell3/date.fst,./vits-icefall-zh-aishell3/number.fst \
  --tts-rule-fars=./vits-icefall-zh-aishell3/rule.far \
  --sid=66 \
--- a/dotnet-examples/offline-tts/run-hf-fanchen.sh
+++ b/dotnet-examples/offline-tts/run-hf-fanchen.sh
@@ -8,10 +8,10 @@ fi

 dotnet run \
  --vits-model=./vits-zh-hf-fanchen-C/vits-zh-hf-fanchen-C.onnx \
-  --vits-tokens=./vits-zh-hf-fanchen-C/tokens.txt \
-  --vits-lexicon=./vits-zh-hf-fanchen-C/lexicon.txt \
+  --tokens=./vits-zh-hf-fanchen-C/tokens.txt \
+  --lexicon=./vits-zh-hf-fanchen-C/lexicon.txt \
  --tts-rule-fsts=./vits-zh-hf-fanchen-C/phone.fst,./vits-zh-hf-fanchen-C/date.fst,./vits-zh-hf-fanchen-C/number.fst \
-  --vits-dict-dir=./vits-zh-hf-fanchen-C/dict \
+  --dict-dir=./vits-zh-hf-fanchen-C/dict \
  --sid=100 \
  --debug=1 \
  --output-filename=./fanchen-100.wav \
--- a/dotnet-examples/offline-tts/run-matcha-en.sh
+++ b/dotnet-examples/offline-tts/run-matcha-en.sh
@@ -0,0 +1,26 @@
+#!/usr/bin/env bash
+set -ex
+
+
+# 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 xf 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
+
+dotnet run \
+  --matcha-acoustic-model=./matcha-icefall-en_US-ljspeech/model-steps-3.onnx \
+  --matcha-vocoder=./hifigan_v2.onnx \
+  --tokens=./matcha-icefall-en_US-ljspeech/tokens.txt \
+  --data-dir=./matcha-icefall-en_US-ljspeech/espeak-ng-data \
+  --debug=1 \
+  --output-filename=./matcha-en.wav \
+  --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.'
--- a/dotnet-examples/offline-tts/run-matcha-zh.sh
+++ b/dotnet-examples/offline-tts/run-matcha-zh.sh
@@ -0,0 +1,27 @@
+#!/usr/bin/env bash
+set -ex
+
+# 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
+
+
+dotnet run \
+  --matcha-acoustic-model=./matcha-icefall-zh-baker/model-steps-3.onnx \
+  --matcha-vocoder=./hifigan_v2.onnx \
+  --lexicon=./matcha-icefall-zh-baker/lexicon.txt \
+  --tokens=./matcha-icefall-zh-baker/tokens.txt \
+  --dict-dir=./matcha-icefall-zh-baker/dict \
+  --tts-rule-fsts=./matcha-icefall-zh-baker/phone.fst,./matcha-icefall-zh-baker/date.fst,./matcha-icefall-zh-baker/number.fst \
+  --debug=1 \
+  --output-filename=./matcha-zh.wav \
+  --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。"
--- a/dotnet-examples/offline-tts/run-piper.sh
+++ b/dotnet-examples/offline-tts/run-piper.sh
@@ -10,8 +10,8 @@ fi

 dotnet run \
  --vits-model=./vits-piper-en_US-amy-low/en_US-amy-low.onnx \
-  --vits-tokens=./vits-piper-en_US-amy-low/tokens.txt \
-  --vits-data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
+  --tokens=./vits-piper-en_US-amy-low/tokens.txt \
+  --data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
  --debug=1 \
  --output-filename=./amy.wav \
  --text="This is a text to speech application in dotnet with Next Generation Kaldi"
--- a/nodejs-examples/README.md
+++ b/nodejs-examples/README.md
@@ -42,9 +42,45 @@ node ./test-offline-speaker-diarization.js

 In the following, we demonstrate how to run text-to-speech.

-## ./test-offline-tts-en.js
+## ./test-offline-tts-matcha-zh.js

-[./test-offline-tts-en.js](./test-offline-tts-en.js) shows how to use
+[./test-offline-tts-matcha-zh.js](./test-offline-tts-matcha-zh.js) shows how to use
+[matcha-icefall-zh-baker](https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/matcha.html#matcha-icefall-zh-baker-chinese-1-female-speaker)
+for text-to-speech.
+
+You can use the following command to run it:
+
+```bash
+wget 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
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
+
+node ./test-offline-tts-matcha-zh.js
+```
+
+## ./test-offline-tts-matcha-en.js
+
+[./test-offline-tts-matcha-en.js](./test-offline-tts-matcha-en.js) shows how to use
+[matcha-icefall-en_US-ljspeech](https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/matcha.html#matcha-icefall-en-us-ljspeech-american-english-1-female-speaker)
+for text-to-speech.
+
+You can use the following command to run it:
+
+```bash
+wget 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
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/vocoder-models/hifigan_v2.onnx
+
+node ./test-offline-tts-matcha-en.js
+```
+
+## ./test-offline-tts-vits-en.js
+
+[./test-offline-tts-vits-en.js](./test-offline-tts-vits-en.js) shows how to use
 [vits-piper-en_US-amy-low.tar.bz2](https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-amy-low.tar.bz2)
 for text-to-speech.

@@ -53,12 +89,12 @@ You can use the following command to run it:
 ```bash
 wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-amy-low.tar.bz2
 tar xvf vits-piper-en_US-amy-low.tar.bz2
-node ./test-offline-tts-en.js
+node ./test-offline-tts-vits-en.js
 ```

-## ./test-offline-tts-zh.js
+## ./test-offline-tts-vits-zh.js

-[./test-offline-tts-zh.js](./test-offline-tts-zh.js) shows how to use
+[./test-offline-tts-vits-zh.js](./test-offline-tts-vits-zh.js) shows how to use
 a VITS pretrained model
 [aishell3](https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/vits.html#vits-model-aishell3)
 for text-to-speech.
@@ -68,7 +104,7 @@ You can use the following command to run it:
 ```bash
 wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-icefall-zh-aishell3.tar.bz2
 tar xvf vits-icefall-zh-aishell3.tar.bz2
-node ./test-offline-tts-zh.js
+node ./test-offline-tts-vits-zh.js
 ```

 # Speech-to-text
--- a/nodejs-examples/test-offline-tts-matcha-en.js
+++ b/nodejs-examples/test-offline-tts-matcha-en.js
@@ -0,0 +1,40 @@
+// Copyright (c)  2025  Xiaomi Corporation (authors: Fangjun Kuang)
+
+const sherpa_onnx = require('sherpa-onnx');
+
+function createOfflineTts() {
+  let offlineTtsMatchaModelConfig = {
+    acousticModel: './matcha-icefall-en_US-ljspeech/model-steps-3.onnx',
+    vocoder: './hifigan_v2.onnx',
+    lexicon: './matcha-icefall-en_US-ljspeech/lexicon.txt',
+    tokens: './matcha-icefall-en_US-ljspeech/tokens.txt',
+    dataDir: './matcha-icefall-en_US-ljspeech/espeak-ng-data',
+
+    noiseScale: 0.667,
+    lengthScale: 1.0,
+  };
+  let offlineTtsModelConfig = {
+    offlineTtsMatchaModelConfig: offlineTtsMatchaModelConfig,
+    numThreads: 1,
+    debug: 1,
+    provider: 'cpu',
+  };
+
+  let offlineTtsConfig = {
+    offlineTtsModelConfig: offlineTtsModelConfig,
+    maxNumSentences: 1,
+  };
+
+  return sherpa_onnx.createOfflineTts(offlineTtsConfig);
+}
+
+const tts = createOfflineTts();
+const speakerId = 0;
+const speed = 1.0;
+const 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.'
+
+const audio = tts.generate({text: text, sid: speakerId, speed: speed});
+tts.save('./test-matcha-en.wav', audio);
+console.log('Saved to test-matcha-en.wav successfully.');
+tts.free();
--- a/nodejs-examples/test-offline-tts-matcha-zh.js
+++ b/nodejs-examples/test-offline-tts-matcha-zh.js
@@ -0,0 +1,41 @@
+// Copyright (c)  2025  Xiaomi Corporation (authors: Fangjun Kuang)
+
+const sherpa_onnx = require('sherpa-onnx');
+
+function createOfflineTts() {
+  let offlineTtsMatchaModelConfig = {
+    acousticModel: './matcha-icefall-zh-baker/model-steps-3.onnx',
+    vocoder: './hifigan_v2.onnx',
+    lexicon: './matcha-icefall-zh-baker/lexicon.txt',
+    tokens: './matcha-icefall-zh-baker/tokens.txt',
+    dictDir: './matcha-icefall-zh-baker/dict',
+    noiseScale: 0.667,
+    lengthScale: 1.0,
+  };
+  let offlineTtsModelConfig = {
+    offlineTtsMatchaModelConfig: offlineTtsMatchaModelConfig,
+    numThreads: 1,
+    debug: 1,
+    provider: 'cpu',
+  };
+
+  let offlineTtsConfig = {
+    offlineTtsModelConfig: offlineTtsModelConfig,
+    maxNumSentences: 1,
+    ruleFsts:
+        './matcha-icefall-zh-baker/phone.fst,./matcha-icefall-zh-baker/date.fst,./matcha-icefall-zh-baker/number.fst',
+  };
+
+  return sherpa_onnx.createOfflineTts(offlineTtsConfig);
+}
+
+const tts = createOfflineTts();
+const speakerId = 0;
+const speed = 1.0;
+const text =
+    '当夜幕降临，星光点点，伴随着微风拂面，我在静谧中感受着时光的流转，思念如涟漪荡漾，梦境如画卷展开，我与自然融为一体，沉静在这片宁静的美丽之中，感受着生命的奇迹与温柔. 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。'
+
+const audio = tts.generate({text: text, sid: speakerId, speed: speed});
+tts.save('./test-matcha-zh.wav', audio);
+console.log('Saved to test-matcha-zh.wav successfully.');
+tts.free();
--- a/nodejs-examples/test-offline-tts-vits-en.js
+++ b/nodejs-examples/test-offline-tts-vits-en.js
@@ -37,7 +37,7 @@ const audio = tts.generate({
  speed: speed
 });

-tts.save('./test-en.wav', audio);
-console.log('Saved to test-en.wav successfully.');
+tts.save('./test-vits-en.wav', audio);
+console.log('Saved to test-vits-en.wav successfully.');

 tts.free();
--- a/nodejs-examples/test-offline-tts-vits-zh.js
+++ b/nodejs-examples/test-offline-tts-vits-zh.js
@@ -34,6 +34,6 @@ const speakerId = 66;
 const speed = 1.0;
 const audio = tts.generate(
    {text: '3年前中国总人口是1411778724人', sid: speakerId, speed: speed});
-tts.save('./test-zh.wav', audio);
-console.log('Saved to test-zh.wav successfully.');
+tts.save('./test-vits-zh.wav', audio);
+console.log('Saved to test-vits-zh.wav successfully.');
 tts.free();
--- a/scripts/dotnet/OfflineTtsMatchaModelConfig.cs
+++ b/scripts/dotnet/OfflineTtsMatchaModelConfig.cs
@@ -0,0 +1,44 @@
+/// Copyright (c)  2025  Xiaomi Corporation (authors: Fangjun Kuang)
+
+using System.Runtime.InteropServices;
+
+namespace SherpaOnnx
+{
+    [StructLayout(LayoutKind.Sequential)]
+    public struct OfflineTtsMatchaModelConfig
+    {
+        public OfflineTtsMatchaModelConfig()
+        {
+            AcousticModel = "";
+            Vocoder = "";
+            Lexicon = "";
+            Tokens = "";
+            DataDir = "";
+
+            NoiseScale = 0.667F;
+            LengthScale = 1.0F;
+
+            DictDir = "";
+        }
+        [MarshalAs(UnmanagedType.LPStr)]
+        public string AcousticModel;
+
+        [MarshalAs(UnmanagedType.LPStr)]
+        public string Vocoder;
+
+        [MarshalAs(UnmanagedType.LPStr)]
+        public string Lexicon;
+
+        [MarshalAs(UnmanagedType.LPStr)]
+        public string Tokens;
+
+        [MarshalAs(UnmanagedType.LPStr)]
+        public string DataDir;
+
+        public float NoiseScale;
+        public float LengthScale;
+
+        [MarshalAs(UnmanagedType.LPStr)]
+        public string DictDir;
+    }
+}
--- a/scripts/dotnet/OfflineTtsModelConfig.cs
+++ b/scripts/dotnet/OfflineTtsModelConfig.cs
@@ -11,6 +11,7 @@ namespace SherpaOnnx
        public OfflineTtsModelConfig()
        {
            Vits = new OfflineTtsVitsModelConfig();
+            Matcha = new OfflineTtsMatchaModelConfig();
            NumThreads = 1;
            Debug = 0;
            Provider = "cpu";
@@ -21,5 +22,7 @@ namespace SherpaOnnx
        public int Debug;
        [MarshalAs(UnmanagedType.LPStr)]
        public string Provider;
+
+        public OfflineTtsMatchaModelConfig Matcha;
    }
-}
+}
--- a/scripts/dotnet/examples/Common.csproj
+++ b/scripts/dotnet/examples/Common.csproj
@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
-    <TargetFramework>.net6</TargetFramework>
+    <TargetFramework>net8.0</TargetFramework>
    <RestoreSources>/tmp/packages;$(RestoreSources);https://api.nuget.org/v3/index.json</RestoreSources>
  </PropertyGroup>

--- a/scripts/dotnet/sherpa-onnx.csproj.in
+++ b/scripts/dotnet/sherpa-onnx.csproj.in
@@ -4,7 +4,7 @@
    <PackageReadmeFile>README.md</PackageReadmeFile>
    <OutputType>Library</OutputType>
    <LangVersion>10.0</LangVersion>
-    <TargetFrameworks>net6.0;net45;net40;net35;net20;netstandard2.0</TargetFrameworks>
+    <TargetFrameworks>net8.0;net7.0;net6.0;net45;net40;net35;net20;netstandard2.0</TargetFrameworks>
    <RuntimeIdentifiers>linux-x64;linux-arm64;osx-x64;osx-arm64;win-x64;win-x86;win-arm64</RuntimeIdentifiers>
    <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
    <AssemblyName>sherpa-onnx</AssemblyName>
--- a/scripts/dotnet/sherpa-onnx.csproj.runtime.in
+++ b/scripts/dotnet/sherpa-onnx.csproj.runtime.in
@@ -3,7 +3,7 @@
    <PackageLicenseExpression>Apache-2.0</PackageLicenseExpression>
    <PackageReadmeFile>README.md</PackageReadmeFile>
    <OutputType>Library</OutputType>
-    <TargetFrameworks>net6.0;net45;net40;net35;net20;netstandard2.0</TargetFrameworks>
+    <TargetFrameworks>net8.0;net7.0;net6.0;net45;net40;net35;net20;netstandard2.0</TargetFrameworks>
    <RuntimeIdentifier>{{ dotnet_rid }}</RuntimeIdentifier>
    <AssemblyName>sherpa-onnx</AssemblyName>
    <Version>{{ version }}</Version>
--- a/wasm/tts/sherpa-onnx-tts.js
+++ b/wasm/tts/sherpa-onnx-tts.js
@@ -8,6 +8,10 @@ function freeConfig(config, Module) {
    freeConfig(config.config, Module)
  }

+  if ('config2' in config) {
+    freeConfig(config.config2, Module)
+  }
+
  Module._free(config.ptr);
 }

@@ -66,11 +70,103 @@ function initSherpaOnnxOfflineTtsVitsModelConfig(config, Module) {
  }
 }

+function initSherpaOnnxOfflineTtsMatchaModelConfig(config, Module) {
+  const acousticModelLen = Module.lengthBytesUTF8(config.acousticModel) + 1;
+  const vocoderLen = Module.lengthBytesUTF8(config.vocoder) + 1;
+  const lexiconLen = Module.lengthBytesUTF8(config.lexicon || '') + 1;
+  const tokensLen = Module.lengthBytesUTF8(config.tokens || '') + 1;
+  const dataDirLen = Module.lengthBytesUTF8(config.dataDir || '') + 1;
+  const dictDirLen = Module.lengthBytesUTF8(config.dictDir || '') + 1;
+
+  const n = acousticModelLen + vocoderLen + lexiconLen + tokensLen +
+      dataDirLen + dictDirLen;
+
+  const buffer = Module._malloc(n);
+
+  const len = 8 * 4;
+  const ptr = Module._malloc(len);
+
+  let offset = 0;
+  Module.stringToUTF8(
+      config.acousticModel || '', buffer + offset, acousticModelLen);
+  offset += acousticModelLen;
+
+  Module.stringToUTF8(config.vocoder || '', buffer + offset, vocoderLen);
+  offset += vocoderLen;
+
+  Module.stringToUTF8(config.lexicon || '', buffer + offset, lexiconLen);
+  offset += lexiconLen;
+
+  Module.stringToUTF8(config.tokens || '', buffer + offset, tokensLen);
+  offset += tokensLen;
+
+  Module.stringToUTF8(config.dataDir || '', buffer + offset, dataDirLen);
+  offset += dataDirLen;
+
+  Module.stringToUTF8(config.dictDir || '', buffer + offset, dictDirLen);
+  offset += dictDirLen;
+
+  offset = 0;
+  Module.setValue(ptr, buffer + offset, 'i8*');
+  offset += acousticModelLen;
+
+  Module.setValue(ptr + 4, buffer + offset, 'i8*');
+  offset += vocoderLen;
+
+  Module.setValue(ptr + 8, buffer + offset, 'i8*');
+  offset += lexiconLen;
+
+  Module.setValue(ptr + 12, buffer + offset, 'i8*');
+  offset += tokensLen;
+
+  Module.setValue(ptr + 16, buffer + offset, 'i8*');
+  offset += dataDirLen;
+
+  Module.setValue(ptr + 20, config.noiseScale || 0.667, 'float');
+  Module.setValue(ptr + 24, config.lengthScale || 1.0, 'float');
+  Module.setValue(ptr + 28, buffer + offset, 'i8*');
+  offset += dictDirLen;
+
+  return {
+    buffer: buffer, ptr: ptr, len: len,
+  }
+}
+
 function initSherpaOnnxOfflineTtsModelConfig(config, Module) {
+  if (!('offlineTtsVitsModelConfig' in config)) {
+    config.offlineTtsVitsModelConfig = {
+      model: '',
+      lexicon: '',
+      tokens: '',
+      noiseScale: 0.667,
+      noiseScaleW: 0.8,
+      lengthScale: 1.0,
+      dataDir: '',
+      dictDir: '',
+    };
+  }
+
+  if (!('offlineTtsMatchaModelConfig' in config)) {
+    config.offlineTtsMatchaModelConfig = {
+      acousticModel: '',
+      vocoder: '',
+      lexicon: '',
+      tokens: '',
+      noiseScale: 0.667,
+      lengthScale: 1.0,
+      dataDir: '',
+      dictDir: '',
+    };
+  }
+
+
  const vitsModelConfig = initSherpaOnnxOfflineTtsVitsModelConfig(
      config.offlineTtsVitsModelConfig, Module);

-  const len = vitsModelConfig.len + 3 * 4;
+  const matchaModelConfig = initSherpaOnnxOfflineTtsMatchaModelConfig(
+      config.offlineTtsMatchaModelConfig, Module);
+
+  const len = vitsModelConfig.len + matchaModelConfig.len + 3 * 4;
  const ptr = Module._malloc(len);

  let offset = 0;
@@ -87,9 +183,14 @@ function initSherpaOnnxOfflineTtsModelConfig(config, Module) {
  const buffer = Module._malloc(providerLen);
  Module.stringToUTF8(config.provider, buffer, providerLen);
  Module.setValue(ptr + offset, buffer, 'i8*');
+  offset += 4;
+
+  Module._CopyHeap(matchaModelConfig.ptr, matchaModelConfig.len, ptr + offset);
+  offset += matchaModelConfig.len;

  return {
    buffer: buffer, ptr: ptr, len: len, config: vitsModelConfig,
+        config2: matchaModelConfig
  }
 }

@@ -195,12 +296,26 @@ function createOfflineTts(Module, myConfig) {
    noiseScaleW: 0.8,
    lengthScale: 1.0,
  };
+
+  const offlineTtsMatchaModelConfig = {
+    acousticModel: '',
+    vocoder: '',
+    lexicon: '',
+    tokens: '',
+    dataDir: '',
+    dictDir: '',
+    noiseScale: 0.667,
+    lengthScale: 1.0,
+  };
+
  const offlineTtsModelConfig = {
    offlineTtsVitsModelConfig: offlineTtsVitsModelConfig,
+    offlineTtsMatchaModelConfig: offlineTtsMatchaModelConfig,
    numThreads: 1,
    debug: 1,
    provider: 'cpu',
  };
+
  let offlineTtsConfig = {
    offlineTtsModelConfig: offlineTtsModelConfig,
    ruleFsts: '',
--- a/wasm/tts/sherpa-onnx-wasm-main-tts.cc
+++ b/wasm/tts/sherpa-onnx-wasm-main-tts.cc
@@ -14,8 +14,10 @@
 extern "C" {

 static_assert(sizeof(SherpaOnnxOfflineTtsVitsModelConfig) == 8 * 4, "");
+static_assert(sizeof(SherpaOnnxOfflineTtsMatchaModelConfig) == 8 * 4, "");
 static_assert(sizeof(SherpaOnnxOfflineTtsModelConfig) ==
-                  sizeof(SherpaOnnxOfflineTtsVitsModelConfig) + 3 * 4,
+                  sizeof(SherpaOnnxOfflineTtsVitsModelConfig) +
+                      sizeof(SherpaOnnxOfflineTtsMatchaModelConfig) + 3 * 4,
              "");
 static_assert(sizeof(SherpaOnnxOfflineTtsConfig) ==
                  sizeof(SherpaOnnxOfflineTtsModelConfig) + 3 * 4,
@@ -24,6 +26,7 @@ static_assert(sizeof(SherpaOnnxOfflineTtsConfig) ==
 void MyPrint(SherpaOnnxOfflineTtsConfig *tts_config) {
  auto tts_model_config = &tts_config->model;
  auto vits_model_config = &tts_model_config->vits;
+  auto matcha_model_config = &tts_model_config->matcha;
  fprintf(stdout, "----------vits model config----------\n");
  fprintf(stdout, "model: %s\n", vits_model_config->model);
  fprintf(stdout, "lexicon: %s\n", vits_model_config->lexicon);
@@ -34,6 +37,16 @@ void MyPrint(SherpaOnnxOfflineTtsConfig *tts_config) {
  fprintf(stdout, "length scale: %.3f\n", vits_model_config->length_scale);
  fprintf(stdout, "dict_dir: %s\n", vits_model_config->dict_dir);

+  fprintf(stdout, "----------matcha model config----------\n");
+  fprintf(stdout, "acoustic_model: %s\n", matcha_model_config->acoustic_model);
+  fprintf(stdout, "vocoder: %s\n", matcha_model_config->vocoder);
+  fprintf(stdout, "lexicon: %s\n", matcha_model_config->lexicon);
+  fprintf(stdout, "tokens: %s\n", matcha_model_config->tokens);
+  fprintf(stdout, "data_dir: %s\n", matcha_model_config->data_dir);
+  fprintf(stdout, "noise scale: %.3f\n", matcha_model_config->noise_scale);
+  fprintf(stdout, "length scale: %.3f\n", matcha_model_config->length_scale);
+  fprintf(stdout, "dict_dir: %s\n", matcha_model_config->dict_dir);
+
  fprintf(stdout, "----------tts model config----------\n");
  fprintf(stdout, "num threads: %d\n", tts_model_config->num_threads);
  fprintf(stdout, "debug: %d\n", tts_model_config->debug);