Add WebAssembly for ASR (#604)

+name: wasm-simd-hf-space-en-asr-zipformer
+
+on:
+  release:
+    types:
+      - published
+
+  workflow_dispatch:
+
+concurrency:
+  group: wasm-simd-hf-space-en-asr-zipformer-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  wasm-simd-hf-space-en-asr-zipformer:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest]
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - name: Install emsdk
+        uses: mymindstorm/setup-emsdk@v14
+
+      - name: View emsdk version
+        shell: bash
+        run: |
+          emcc -v
+          echo "--------------------"
+          emcc --check
+
+      - name: Download model files
+        shell: bash
+        run: |
+          cd wasm/asr/assets
+          ls -lh
+          echo "----------"
+
+          wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-en-2023-06-21.tar.bz2
+          tar xvf sherpa-onnx-streaming-zipformer-en-2023-06-21.tar.bz2
+          rm sherpa-onnx-streaming-zipformer-en-2023-06-21.tar.bz2
+          mv sherpa-onnx-streaming-zipformer-en-2023-06-21/encoder-epoch-99-avg-1.int8.onnx encoder.onnx
+          mv sherpa-onnx-streaming-zipformer-en-2023-06-21/decoder-epoch-99-avg-1.onnx decoder.onnx
+          mv sherpa-onnx-streaming-zipformer-en-2023-06-21/joiner-epoch-99-avg-1.onnx joiner.onnx
+          mv sherpa-onnx-streaming-zipformer-en-2023-06-21/tokens.txt ./
+
+          rm -rf sherpa-onnx-streaming-zipformer-en-2023-06-21
+
+          ls -lh
+
+      - name: Build sherpa-onnx for WebAssembly (ASR)
+        shell: bash
+        run: |
+          ./build-wasm-simd-asr.sh
+
+      - name: collect files
+        shell: bash
+        run: |
+          SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+          dst=sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-en-asr-zipformer
+          mv build-wasm-simd-asr/install/bin/wasm/asr $dst
+          ls -lh $dst
+          tar cjfv ${dst}.tar.bz2 ./${dst}
+
+      - name: Upload wasm files
+        uses: actions/upload-artifact@v4
+        with:
+          name: sherpa-onnx-wasm-simd-en-asr-zipformer
+          path: ./sherpa-onnx-wasm-simd-*.tar.bz2
+
+      - name: Publish to ModelScope
+        env:
+          MS_TOKEN: ${{ secrets.MODEL_SCOPE_GIT_TOKEN }}
+        uses: nick-fields/retry@v2
+        with:
+          max_attempts: 20
+          timeout_seconds: 200
+          shell: bash
+          command: |
+            SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+            git config --global user.email "csukuangfj@gmail.com"
+            git config --global user.name "Fangjun Kuang"
+
+            rm -rf ms
+            export GIT_LFS_SKIP_SMUDGE=1
+
+            git clone https://www.modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-en.git ms
+            cd ms
+            git fetch
+            git pull
+            git merge -m "merge remote" --ff origin main
+
+            cp -v ../sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-*/* .
+
+            git status
+            git lfs track "*.data"
+            git lfs track "*.wasm"
+            ls -lh
+
+            git add .
+            git commit -m "update model"
+            git push https://oauth2:${MS_TOKEN}@www.modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-en.git
+
+      - name: Publish to huggingface
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        uses: nick-fields/retry@v2
+        with:
+          max_attempts: 20
+          timeout_seconds: 200
+          shell: bash
+          command: |
+            SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+            git config --global user.email "csukuangfj@gmail.com"
+            git config --global user.name "Fangjun Kuang"
+
+            rm -rf huggingface
+            export GIT_LFS_SKIP_SMUDGE=1
+
+            git clone https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en huggingface
+            cd huggingface
+            git fetch
+            git pull
+            git merge -m "merge remote" --ff origin main
+
+            cp -v ../sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-*/* .
+
+            git status
+            git lfs track "*.data"
+            git lfs track "*.wasm"
+            ls -lh
+
+            git add .
+            git commit -m "update model"
+            git push https://csukuangfj:$HF_TOKEN@huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en main

+name: wasm-simd-hf-space-zh-en-asr-paraformer
+
+on:
+  release:
+    types:
+      - published
+
+  workflow_dispatch:
+
+concurrency:
+  group: wasm-simd-hf-space-zh-en-asr-paraformer-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  wasm-simd-hf-space-zh-en-asr-paraformer:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest]
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - name: Install emsdk
+        uses: mymindstorm/setup-emsdk@v14
+
+      - name: View emsdk version
+        shell: bash
+        run: |
+          emcc -v
+          echo "--------------------"
+          emcc --check
+
+      - name: Download model files
+        shell: bash
+        run: |
+          cd wasm/asr/assets
+          ls -lh
+          echo "----------"
+
+          wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+          tar xvf sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+          rm sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+
+          mv sherpa-onnx-streaming-paraformer-bilingual-zh-en/encoder.int8.onnx encoder.onnx
+          mv sherpa-onnx-streaming-paraformer-bilingual-zh-en/decoder.int8.onnx decoder.onnx
+          mv sherpa-onnx-streaming-paraformer-bilingual-zh-en/tokens.txt ./
+
+          rm -rf sherpa-onnx-streaming-paraformer-bilingual-zh-en
+
+          ls -lh
+
+          cd ../
+
+          sed -i.bak s/"type = 0"/"type = 1"/g ./sherpa-onnx.js
+          sed -i.bak s/Zipformer/Paraformer/g ./index.html
+
+          git diff
+
+      - name: Build sherpa-onnx for WebAssembly (ASR)
+        shell: bash
+        run: |
+          ./build-wasm-simd-asr.sh
+
+      - name: collect files
+        shell: bash
+        run: |
+          SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+          dst=sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-zh-en-asr-paraformer
+          mv build-wasm-simd-asr/install/bin/wasm/asr $dst
+          ls -lh $dst
+          tar cjfv ${dst}.tar.bz2 ./${dst}
+
+      - name: Upload wasm files
+        uses: actions/upload-artifact@v4
+        with:
+          name: sherpa-onnx-wasm-simd-zh-en-asr-paraformer
+          path: ./sherpa-onnx-wasm-simd-*.tar.bz2
+
+      - name: Publish to ModelScope
+        env:
+          MS_TOKEN: ${{ secrets.MODEL_SCOPE_GIT_TOKEN }}
+        uses: nick-fields/retry@v2
+        with:
+          max_attempts: 20
+          timeout_seconds: 200
+          shell: bash
+          command: |
+            SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+            git config --global user.email "csukuangfj@gmail.com"
+            git config --global user.name "Fangjun Kuang"
+
+            rm -rf ms
+            export GIT_LFS_SKIP_SMUDGE=1
+
+            git clone https://www.modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer.git ms
+            cd ms
+            git fetch
+            git pull
+            git merge -m "merge remote" --ff origin main
+
+            cp -v ../sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-*/* .
+
+            git status
+            git lfs track "*.data"
+            git lfs track "*.wasm"
+            ls -lh
+
+            git add .
+            git commit -m "update model"
+            git push https://oauth2:${MS_TOKEN}@www.modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer.git
+
+      - name: Publish to huggingface
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        uses: nick-fields/retry@v2
+        with:
+          max_attempts: 20
+          timeout_seconds: 200
+          shell: bash
+          command: |
+            SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+            git config --global user.email "csukuangfj@gmail.com"
+            git config --global user.name "Fangjun Kuang"
+
+            rm -rf huggingface
+            export GIT_LFS_SKIP_SMUDGE=1
+
+            git clone https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer huggingface
+            cd huggingface
+            git fetch
+            git pull
+            git merge -m "merge remote" --ff origin main
+
+            cp -v ../sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-*/* .
+
+            git status
+            git lfs track "*.data"
+            git lfs track "*.wasm"
+            ls -lh
+
+            git add .
+            git commit -m "update model"
+            git push https://csukuangfj:$HF_TOKEN@huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer main

+name: wasm-simd-hf-space-zh-en-asr-zipformer
+
+on:
+  release:
+    types:
+      - published
+
+  workflow_dispatch:
+
+concurrency:
+  group: wasm-simd-hf-space-zh-en-asr-zipformer-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  wasm-simd-hf-space-zh-en-asr-zipformer:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest]
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - name: Install emsdk
+        uses: mymindstorm/setup-emsdk@v14
+
+      - name: View emsdk version
+        shell: bash
+        run: |
+          emcc -v
+          echo "--------------------"
+          emcc --check
+
+      - name: Download model files
+        shell: bash
+        run: |
+          cd wasm/asr/assets
+          ls -lh
+          echo "----------"
+          wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+          tar xvf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+          rm sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+          mv sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/encoder-epoch-99-avg-1.int8.onnx encoder.onnx
+          mv sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/decoder-epoch-99-avg-1.onnx decoder.onnx
+          mv sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/joiner-epoch-99-avg-1.int8.onnx joiner.onnx
+          mv sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt ./
+          rm -rf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/
+
+          ls -lh
+
+      - name: Build sherpa-onnx for WebAssembly (ASR)
+        shell: bash
+        run: |
+          ./build-wasm-simd-asr.sh
+
+      - name: collect files
+        shell: bash
+        run: |
+          SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+          dst=sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-zh-en-asr-zipformer
+          mv build-wasm-simd-asr/install/bin/wasm/asr $dst
+          ls -lh $dst
+          tar cjfv ${dst}.tar.bz2 ./${dst}
+
+      - name: Upload wasm files
+        uses: actions/upload-artifact@v4
+        with:
+          name: sherpa-onnx-wasm-simd-zh-en-asr-zipformer
+          path: ./sherpa-onnx-wasm-simd-*.tar.bz2
+
+      - name: Publish to ModelScope
+        env:
+          MS_TOKEN: ${{ secrets.MODEL_SCOPE_GIT_TOKEN }}
+        uses: nick-fields/retry@v2
+        with:
+          max_attempts: 20
+          timeout_seconds: 200
+          shell: bash
+          command: |
+            SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+            git config --global user.email "csukuangfj@gmail.com"
+            git config --global user.name "Fangjun Kuang"
+
+            rm -rf ms
+            export GIT_LFS_SKIP_SMUDGE=1
+
+            git clone https://www.modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en.git ms
+            cd ms
+            git fetch
+            git pull
+            git merge -m "merge remote" --ff origin main
+
+            cp -v ../sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-*/* .
+
+            git status
+            git lfs track "*.data"
+            git lfs track "*.wasm"
+            ls -lh
+
+            git add .
+            git commit -m "update model"
+            git push https://oauth2:${MS_TOKEN}@www.modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en.git
+
+      - name: Publish to huggingface
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        uses: nick-fields/retry@v2
+        with:
+          max_attempts: 20
+          timeout_seconds: 200
+          shell: bash
+          command: |
+            SHERPA_ONNX_VERSION=v$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
+
+            git config --global user.email "csukuangfj@gmail.com"
+            git config --global user.name "Fangjun Kuang"
+
+            rm -rf huggingface
+            export GIT_LFS_SKIP_SMUDGE=1
+
+            git clone https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en huggingface
+            cd huggingface
+            git fetch
+            git pull
+            git merge -m "merge remote" --ff origin main
+
+            cp -v ../sherpa-onnx-wasm-simd-${SHERPA_ONNX_VERSION}-*/* .
+
+            git status
+            git lfs track "*.data"
+            git lfs track "*.wasm"
+            ls -lh
+
+            git add .
+            git commit -m "update model"
+            git push https://csukuangfj:$HF_TOKEN@huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en main

@@ -81,3 +81,6 @@ vits-piper-en_US-amy-low
 vits-piper-*-*-*
 vits-piper-*-*-*
 log
 log
 *.exe
 *.exe
+vits-piper-*
+vits-coqui-*
+vits-mms-*

@@ -22,6 +22,7 @@ option(SHERPA_ONNX_ENABLE_WEBSOCKET "Whether to build webscoket server/client" O
 option(SHERPA_ONNX_ENABLE_GPU "Enable ONNX Runtime GPU support" OFF)
 option(SHERPA_ONNX_ENABLE_GPU "Enable ONNX Runtime GPU support" OFF)
 option(SHERPA_ONNX_ENABLE_WASM "Whether to enable WASM" OFF)
 option(SHERPA_ONNX_ENABLE_WASM "Whether to enable WASM" OFF)
 option(SHERPA_ONNX_ENABLE_WASM_TTS "Whether to enable WASM for TTS" OFF)
 option(SHERPA_ONNX_ENABLE_WASM_TTS "Whether to enable WASM for TTS" OFF)
+option(SHERPA_ONNX_ENABLE_WASM_ASR "Whether to enable WASM for ASR" OFF)
 option(SHERPA_ONNX_ENABLE_BINARY "Whether to build binaries" ON)
 option(SHERPA_ONNX_ENABLE_BINARY "Whether to build binaries" ON)
 option(SHERPA_ONNX_LINK_LIBSTDCPP_STATICALLY "True to link libstdc++ statically. Used only when BUILD_SHARED_LIBS is OFF on Linux" ON)
 option(SHERPA_ONNX_LINK_LIBSTDCPP_STATICALLY "True to link libstdc++ statically. Used only when BUILD_SHARED_LIBS is OFF on Linux" ON)
 
 
@@ -106,10 +107,17 @@ message(STATUS "SHERPA_ONNX_ENABLE_WEBSOCKET ${SHERPA_ONNX_ENABLE_WEBSOCKET}")
 message(STATUS "SHERPA_ONNX_ENABLE_GPU ${SHERPA_ONNX_ENABLE_GPU}")
 message(STATUS "SHERPA_ONNX_ENABLE_GPU ${SHERPA_ONNX_ENABLE_GPU}")
 message(STATUS "SHERPA_ONNX_ENABLE_WASM ${SHERPA_ONNX_ENABLE_WASM}")
 message(STATUS "SHERPA_ONNX_ENABLE_WASM ${SHERPA_ONNX_ENABLE_WASM}")
 message(STATUS "SHERPA_ONNX_ENABLE_WASM_TTS ${SHERPA_ONNX_ENABLE_WASM_TTS}")
 message(STATUS "SHERPA_ONNX_ENABLE_WASM_TTS ${SHERPA_ONNX_ENABLE_WASM_TTS}")
+message(STATUS "SHERPA_ONNX_ENABLE_WASM_ASR ${SHERPA_ONNX_ENABLE_WASM_ASR}")
 
 
 if(SHERPA_ONNX_ENABLE_WASM_TTS)
 if(SHERPA_ONNX_ENABLE_WASM_TTS)
   if(NOT SHERPA_ONNX_ENABLE_WASM)
   if(NOT SHERPA_ONNX_ENABLE_WASM)
-    message(FATAL_ERROR "Please set SHERPA_ONNX_ENABLE_WASM to ON if you enable WASM for tts")
+    message(FATAL_ERROR "Please set SHERPA_ONNX_ENABLE_WASM to ON if you enable WASM for TTS")
+  endif()
+endif()
+
+if(SHERPA_ONNX_ENABLE_WASM_ASR)
+  if(NOT SHERPA_ONNX_ENABLE_WASM)
+    message(FATAL_ERROR "Please set SHERPA_ONNX_ENABLE_WASM to ON if you enable WASM for ASR")
   endif()
   endif()
 endif()
 endif()
 
 

+#!/usr/bin/env bash
+# Copyright (c)  2024  Xiaomi Corporation
+#
+# This script is to build sherpa-onnx for WebAssembly (ASR)
+
+set -ex
+
+if [ x"$EMSCRIPTEN" == x"" ]; then
+  if ! command -v emcc &> /dev/null; then
+    echo "Please install emscripten first"
+    echo ""
+    echo "You can use the following commands to install it:"
+    echo ""
+    echo "git clone https://github.com/emscripten-core/emsdk.git"
+    echo "cd emsdk"
+    echo "git pull"
+    echo "./emsdk install latest"
+    echo "./emsdk activate latest"
+    echo "source ./emsdk_env.sh"
+    exit 1
+  else
+    EMSCRIPTEN=$(dirname $(realpath $(which emcc)))
+  fi
+fi
+
+export EMSCRIPTEN=$EMSCRIPTEN
+echo "EMSCRIPTEN: $EMSCRIPTEN"
+if [ ! -f $EMSCRIPTEN/cmake/Modules/Platform/Emscripten.cmake ]; then
+  echo "Cannot find $EMSCRIPTEN/cmake/Modules/Platform/Emscripten.cmake"
+  echo "Please make sure you have installed emsdk correctly"
+  exit 1
+fi
+
+mkdir -p build-wasm-simd-asr
+pushd build-wasm-simd-asr
+
+export SHERPA_ONNX_IS_USING_BUILD_WASM_SH=ON
+
+cmake \
+  -DCMAKE_INSTALL_PREFIX=./install \
+  -DCMAKE_BUILD_TYPE=Release \
+  -DCMAKE_TOOLCHAIN_FILE=$EMSCRIPTEN/cmake/Modules/Platform/Emscripten.cmake \
+  \
+  -DSHERPA_ONNX_ENABLE_PYTHON=OFF \
+  -DSHERPA_ONNX_ENABLE_TESTS=OFF \
+  -DSHERPA_ONNX_ENABLE_CHECK=OFF \
+  -DBUILD_SHARED_LIBS=OFF \
+  -DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
+  -DSHERPA_ONNX_ENABLE_JNI=OFF \
+  -DSHERPA_ONNX_ENABLE_C_API=ON \
+  -DSHERPA_ONNX_ENABLE_WEBSOCKET=OFF \
+  -DSHERPA_ONNX_ENABLE_GPU=OFF \
+  -DSHERPA_ONNX_ENABLE_WASM=ON \
+  -DSHERPA_ONNX_ENABLE_WASM_ASR=ON \
+  -DSHERPA_ONNX_ENABLE_BINARY=OFF \
+  -DSHERPA_ONNX_LINK_LIBSTDCPP_STATICALLY=OFF \
+  ..
+make -j2
+make install
+
+ls -lh install/bin/wasm/asr

 #!/usr/bin/env bash
 #!/usr/bin/env bash
 # Copyright (c)  2024  Xiaomi Corporation
 # Copyright (c)  2024  Xiaomi Corporation
 #
 #
-# This script is to build sherpa-onnx for WebAssembly
+# This script is to build sherpa-onnx for WebAssembly (TTS)
 
 
 set -ex
 set -ex
 
 

@@ -37,7 +37,7 @@ card 3: UACDemoV10 [UACDemoV1.0], device 0: USB Audio [USB Audio]
 
 
 and if you want to select card 3 and the device 0 on that card, please use:
 and if you want to select card 3 and the device 0 on that card, please use:
 
 
-  hw:3,0
+  plughw:3,0
 
 
   )";
   )";
 
 

@@ -107,11 +107,12 @@ void OnlineZipformerTransducerModel::InitEncoder(void *model_data,
 
 
   if (config_.debug) {
   if (config_.debug) {
     auto print = [](const std::vector<int32_t> &v, const char *name) {
     auto print = [](const std::vector<int32_t> &v, const char *name) {
-      fprintf(stderr, "%s: ", name);
+      std::ostringstream os;
+      os << name << ": ";
       for (auto i : v) {
       for (auto i : v) {
-        fprintf(stderr, "%d ", i);
+        os << i << " ";
       }
       }
-      fprintf(stderr, "\n");
+      SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
     };
     };
     print(encoder_dims_, "encoder_dims");
     print(encoder_dims_, "encoder_dims");
     print(attention_dims_, "attention_dims");
     print(attention_dims_, "attention_dims");

@@ -282,11 +282,12 @@ class OnlineZipformer2CtcModel::Impl {
 
 
     if (config_.debug) {
     if (config_.debug) {
       auto print = [](const std::vector<int32_t> &v, const char *name) {
       auto print = [](const std::vector<int32_t> &v, const char *name) {
-        fprintf(stderr, "%s: ", name);
+        std::ostringstream os;
+        os << name << ": ";
         for (auto i : v) {
         for (auto i : v) {
-          fprintf(stderr, "%d ", i);
+          os << i << " ";
         }
         }
-        fprintf(stderr, "\n");
+        SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
       };
       };
       print(encoder_dims_, "encoder_dims");
       print(encoder_dims_, "encoder_dims");
       print(query_head_dims_, "query_head_dims");
       print(query_head_dims_, "query_head_dims");

@@ -111,11 +111,12 @@ void OnlineZipformer2TransducerModel::InitEncoder(void *model_data,
 
 
   if (config_.debug) {
   if (config_.debug) {
     auto print = [](const std::vector<int32_t> &v, const char *name) {
     auto print = [](const std::vector<int32_t> &v, const char *name) {
-      fprintf(stderr, "%s: ", name);
+      std::ostringstream os;
+      os << name << ": ";
       for (auto i : v) {
       for (auto i : v) {
-        fprintf(stderr, "%d ", i);
+        os << i << " ";
       }
       }
-      fprintf(stderr, "\n");
+      SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
     };
     };
     print(encoder_dims_, "encoder_dims");
     print(encoder_dims_, "encoder_dims");
     print(query_head_dims_, "query_head_dims");
     print(query_head_dims_, "query_head_dims");

@@ -54,10 +54,6 @@ card 3: UACDemoV10 [UACDemoV1.0], device 0: USB Audio [USB Audio]
 
 
 and if you want to select card 3 and the device 0 on that card, please use:
 and if you want to select card 3 and the device 0 on that card, please use:
 
 
-  hw:3,0
-
-or
-
   plughw:3,0
   plughw:3,0
 
 
 as the device_name.
 as the device_name.

 if(SHERPA_ONNX_ENABLE_WASM_TTS)
 if(SHERPA_ONNX_ENABLE_WASM_TTS)
   add_subdirectory(tts)
   add_subdirectory(tts)
 endif()
 endif()
+
+if(SHERPA_ONNX_ENABLE_WASM_ASR)
+  add_subdirectory(asr)
+endif()

+*.bak

+if(NOT $ENV{SHERPA_ONNX_IS_USING_BUILD_WASM_SH})
+  message(FATAL_ERROR "Please use ./build-wasm-simd-asr.sh to build for wasm ASR")
+endif()
+
+if(NOT EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/assets/encoder.onnx")
+  message(FATAL_ERROR "Please read ${CMAKE_CURRENT_SOURCE_DIR}/assets/README.md before you continue")
+endif()
+
+set(exported_functions
+  MyPrint
+  # online ASR
+  AcceptWaveform
+  CreateOnlineRecognizer
+  CreateOnlineStream
+  DecodeOnlineStream
+  DestroyOnlineRecognizer
+  DestroyOnlineRecognizerResult
+  DestroyOnlineStream
+  GetOnlineStreamResult
+  InputFinished
+  IsEndpoint
+  IsOnlineStreamReady
+  Reset
+  #
+)
+set(mangled_exported_functions)
+foreach(x IN LISTS exported_functions)
+  list(APPEND mangled_exported_functions "_${x}")
+endforeach()
+list(JOIN mangled_exported_functions "," all_exported_functions)
+
+include_directories(${CMAKE_SOURCE_DIR})
+set(MY_FLAGS " -s FORCE_FILESYSTEM=1 -s INITIAL_MEMORY=512MB -s ALLOW_MEMORY_GROWTH=1")
+string(APPEND MY_FLAGS " -sSTACK_SIZE=10485760 ") # 10MB
+string(APPEND MY_FLAGS " -sEXPORTED_FUNCTIONS=[_CopyHeap,_malloc,_free,${all_exported_functions}] ")
+string(APPEND MY_FLAGS "--preload-file ${CMAKE_CURRENT_SOURCE_DIR}/assets@. ")
+string(APPEND MY_FLAGS " -sEXPORTED_RUNTIME_METHODS=['ccall','stringToUTF8','setValue','getValue'] ")
+
+set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${MY_FLAGS}")
+set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${MY_FLAGS}")
+set(CMAKE_EXECUTBLE_LINKER_FLAGS "${CMAKE_EXECUTBLE_LINKER_FLAGS} ${MY_FLAGS}")
+
+if (NOT CMAKE_EXECUTABLE_SUFFIX STREQUAL ".js")
+  message(FATAL_ERROR "The default suffix for building executables should be .js!")
+endif()
+# set(CMAKE_EXECUTABLE_SUFFIX ".html")
+
+add_executable(sherpa-onnx-wasm-asr-main sherpa-onnx-wasm-asr-main.cc)
+target_link_libraries(sherpa-onnx-wasm-asr-main sherpa-onnx-c-api)
+install(TARGETS sherpa-onnx-wasm-asr-main DESTINATION bin/wasm/asr)
+
+install(
+  FILES
+    "$<TARGET_FILE_DIR:sherpa-onnx-wasm-asr-main>/sherpa-onnx-wasm-asr-main.js"
+    "index.html"
+    "sherpa-onnx.js"
+    "app.js"
+    "$<TARGET_FILE_DIR:sherpa-onnx-wasm-asr-main>/sherpa-onnx-wasm-asr-main.wasm"
+    "$<TARGET_FILE_DIR:sherpa-onnx-wasm-asr-main>/sherpa-onnx-wasm-asr-main.data"
+  DESTINATION
+    bin/wasm/asr
+)

+// This file copies and modifies code
+// from https://mdn.github.io/web-dictaphone/scripts/app.js
+// and https://gist.github.com/meziantou/edb7217fddfbb70e899e
+
+const startBtn = document.getElementById('startBtn');
+const stopBtn = document.getElementById('stopBtn');
+const clearBtn = document.getElementById('clearBtn');
+const hint = document.getElementById('hint');
+const soundClips = document.getElementById('sound-clips');
+
+let textArea = document.getElementById('results');
+
+let lastResult = '';
+let resultList = [];
+
+clearBtn.onclick = function() {
+  resultList = [];
+  textArea.value = getDisplayResult();
+  textArea.scrollTop = textArea.scrollHeight;  // auto scroll
+};
+
+function getDisplayResult() {
+  let i = 0;
+  let ans = '';
+  for (let s in resultList) {
+    if (resultList[s] == '') {
+      continue;
+    }
+
+    ans += '' + i + ': ' + resultList[s] + '\n';
+    i += 1;
+  }
+
+  if (lastResult.length > 0) {
+    ans += '' + i + ': ' + lastResult + '\n';
+  }
+  return ans;
+}
+
+
+Module = {};
+Module.onRuntimeInitialized = function() {
+  console.log('inited!');
+  hint.innerText = 'Model loaded! Please click start';
+
+  startBtn.disabled = false;
+
+  recognizer = createRecognizer();
+  console.log('recognizer is created!', recognizer);
+};
+
+let audioCtx;
+let mediaStream;
+
+let expectedSampleRate = 16000;
+let recordSampleRate;  // the sampleRate of the microphone
+let recorder = null;   // the microphone
+let leftchannel = [];  // TODO: Use a single channel
+
+let recordingLength = 0;  // number of samples so far
+
+let recognizer = null;
+let recognizer_stream = null;
+
+if (navigator.mediaDevices.getUserMedia) {
+  console.log('getUserMedia supported.');
+
+  // see https://w3c.github.io/mediacapture-main/#dom-mediadevices-getusermedia
+  const constraints = {audio: true};
+
+  let onSuccess = function(stream) {
+    if (!audioCtx) {
+      audioCtx = new AudioContext({sampleRate: 16000});
+    }
+    console.log(audioCtx);
+    recordSampleRate = audioCtx.sampleRate;
+    console.log('sample rate ' + recordSampleRate);
+
+    // creates an audio node from the microphone incoming stream
+    mediaStream = audioCtx.createMediaStreamSource(stream);
+    console.log('media stream', mediaStream);
+
+    // https://developer.mozilla.org/en-US/docs/Web/API/AudioContext/createScriptProcessor
+    // bufferSize: the onaudioprocess event is called when the buffer is full
+    var bufferSize = 4096;
+    var numberOfInputChannels = 1;
+    var numberOfOutputChannels = 2;
+    if (audioCtx.createScriptProcessor) {
+      recorder = audioCtx.createScriptProcessor(
+          bufferSize, numberOfInputChannels, numberOfOutputChannels);
+    } else {
+      recorder = audioCtx.createJavaScriptNode(
+          bufferSize, numberOfInputChannels, numberOfOutputChannels);
+    }
+    console.log('recorder', recorder);
+
+    recorder.onaudioprocess = function(e) {
+      let samples = new Float32Array(e.inputBuffer.getChannelData(0))
+      samples = downsampleBuffer(samples, expectedSampleRate);
+
+      if (recognizer_stream == null) {
+        recognizer_stream = recognizer.createStream();
+      }
+
+      recognizer_stream.acceptWaveform(expectedSampleRate, samples);
+      while (recognizer.isReady(recognizer_stream)) {
+        recognizer.decode(recognizer_stream);
+      }
+
+      let isEndpoint = recognizer.isEndpoint(recognizer_stream);
+      let result = recognizer.getResult(recognizer_stream);
+
+
+      if (result.length > 0 && lastResult != result) {
+        lastResult = result;
+      }
+
+      if (isEndpoint) {
+        if (lastResult.length > 0) {
+          resultList.push(lastResult);
+          lastResult = '';
+        }
+        recognizer.reset(recognizer_stream);
+      }
+
+      textArea.value = getDisplayResult();
+      textArea.scrollTop = textArea.scrollHeight;  // auto scroll
+
+      let buf = new Int16Array(samples.length);
+      for (var i = 0; i < samples.length; ++i) {
+        let s = samples[i];
+        if (s >= 1)
+          s = 1;
+        else if (s <= -1)
+          s = -1;
+
+        samples[i] = s;
+        buf[i] = s * 32767;
+      }
+
+      leftchannel.push(buf);
+      recordingLength += bufferSize;
+    };
+
+    startBtn.onclick = function() {
+      mediaStream.connect(recorder);
+      recorder.connect(audioCtx.destination);
+
+      console.log('recorder started');
+
+      stopBtn.disabled = false;
+      startBtn.disabled = true;
+    };
+
+    stopBtn.onclick = function() {
+      console.log('recorder stopped');
+
+      // stopBtn recording
+      recorder.disconnect(audioCtx.destination);
+      mediaStream.disconnect(recorder);
+
+      startBtn.style.background = '';
+      startBtn.style.color = '';
+      // mediaRecorder.requestData();
+
+      stopBtn.disabled = true;
+      startBtn.disabled = false;
+
+      var clipName = new Date().toISOString();
+
+      const clipContainer = document.createElement('article');
+      const clipLabel = document.createElement('p');
+      const audio = document.createElement('audio');
+      const deleteButton = document.createElement('button');
+      clipContainer.classList.add('clip');
+      audio.setAttribute('controls', '');
+      deleteButton.textContent = 'Delete';
+      deleteButton.className = 'delete';
+
+      clipLabel.textContent = clipName;
+
+      clipContainer.appendChild(audio);
+
+      clipContainer.appendChild(clipLabel);
+      clipContainer.appendChild(deleteButton);
+      soundClips.appendChild(clipContainer);
+
+      audio.controls = true;
+      let samples = flatten(leftchannel);
+      const blob = toWav(samples);
+
+      leftchannel = [];
+      const audioURL = window.URL.createObjectURL(blob);
+      audio.src = audioURL;
+      console.log('recorder stopped');
+
+      deleteButton.onclick = function(e) {
+        let evtTgt = e.target;
+        evtTgt.parentNode.parentNode.removeChild(evtTgt.parentNode);
+      };
+
+      clipLabel.onclick = function() {
+        const existingName = clipLabel.textContent;
+        const newClipName = prompt('Enter a new name for your sound clip?');
+        if (newClipName === null) {
+          clipLabel.textContent = existingName;
+        } else {
+          clipLabel.textContent = newClipName;
+        }
+      };
+    };
+  };
+
+  let onError = function(err) {
+    console.log('The following error occured: ' + err);
+  };
+
+  navigator.mediaDevices.getUserMedia(constraints).then(onSuccess, onError);
+} else {
+  console.log('getUserMedia not supported on your browser!');
+  alert('getUserMedia not supported on your browser!');
+}
+
+
+// this function is copied/modified from
+// https://gist.github.com/meziantou/edb7217fddfbb70e899e
+function flatten(listOfSamples) {
+  let n = 0;
+  for (let i = 0; i < listOfSamples.length; ++i) {
+    n += listOfSamples[i].length;
+  }
+  let ans = new Int16Array(n);
+
+  let offset = 0;
+  for (let i = 0; i < listOfSamples.length; ++i) {
+    ans.set(listOfSamples[i], offset);
+    offset += listOfSamples[i].length;
+  }
+  return ans;
+}
+
+// this function is copied/modified from
+// https://gist.github.com/meziantou/edb7217fddfbb70e899e
+function toWav(samples) {
+  let buf = new ArrayBuffer(44 + samples.length * 2);
+  var view = new DataView(buf);
+
+  // http://soundfile.sapp.org/doc/WaveFormat/
+  //                   F F I R
+  view.setUint32(0, 0x46464952, true);               // chunkID
+  view.setUint32(4, 36 + samples.length * 2, true);  // chunkSize
+  //                   E V A W
+  view.setUint32(8, 0x45564157, true);  // format
+                                        //
+  //                      t m f
+  view.setUint32(12, 0x20746d66, true);          // subchunk1ID
+  view.setUint32(16, 16, true);                  // subchunk1Size, 16 for PCM
+  view.setUint32(20, 1, true);                   // audioFormat, 1 for PCM
+  view.setUint16(22, 1, true);                   // numChannels: 1 channel
+  view.setUint32(24, expectedSampleRate, true);  // sampleRate
+  view.setUint32(28, expectedSampleRate * 2, true);  // byteRate
+  view.setUint16(32, 2, true);                       // blockAlign
+  view.setUint16(34, 16, true);                      // bitsPerSample
+  view.setUint32(36, 0x61746164, true);              // Subchunk2ID
+  view.setUint32(40, samples.length * 2, true);      // subchunk2Size
+
+  let offset = 44;
+  for (let i = 0; i < samples.length; ++i) {
+    view.setInt16(offset, samples[i], true);
+    offset += 2;
+  }
+
+  return new Blob([view], {type: 'audio/wav'});
+}
+
+// this function is copied from
+// https://github.com/awslabs/aws-lex-browser-audio-capture/blob/master/lib/worker.js#L46
+function downsampleBuffer(buffer, exportSampleRate) {
+  if (exportSampleRate === recordSampleRate) {
+    return buffer;
+  }
+  var sampleRateRatio = recordSampleRate / exportSampleRate;
+  var newLength = Math.round(buffer.length / sampleRateRatio);
+  var result = new Float32Array(newLength);
+  var offsetResult = 0;
+  var offsetBuffer = 0;
+  while (offsetResult < result.length) {
+    var nextOffsetBuffer = Math.round((offsetResult + 1) * sampleRateRatio);
+    var accum = 0, count = 0;
+    for (var i = offsetBuffer; i < nextOffsetBuffer && i < buffer.length; i++) {
+      accum += buffer[i];
+      count++;
+    }
+    result[offsetResult] = accum / count;
+    offsetResult++;
+    offsetBuffer = nextOffsetBuffer;
+  }
+  return result;
+};

+# Introduction
+
+Please refer to
+https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
+or
+https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
+to download a model.
+
+# Streaming ASR
+
+## Transducer
+```bash
+cd sherpa-onnx/wasm/asr/assets
+
+wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+tar xvf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+rm sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+
+# Note it is not an error that we rename encoder.int8.onnx to encoder.onnx
+
+mv sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/encoder-epoch-99-avg-1.int8.onnx encoder.onnx
+mv sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/decoder-epoch-99-avg-1.onnx decoder.onnx
+mv sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/joiner-epoch-99-avg-1.int8.onnx joiner.onnx
+mv sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt ./
+rm -rf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/
+
+cd ../../..
+
+./build-wasm-simd-asr.sh
+```
+
+You should have the following files in `assets` before you can run
+`build-wasm-simd-asr.sh`
+
+```
+assets fangjun$ tree -L 1
+.
+├── README.md
+├── decoder.onnx
+├── encoder.onnx
+├── joiner.onnx
+└── tokens.txt
+
+0 directories, 5 files
+```
+
+## Paraformer
+
+```
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+tar xvf sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+rm sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+
+mv sherpa-onnx-streaming-paraformer-bilingual-zh-en/encoder.int8.onnx encoder.onnx
+mv sherpa-onnx-streaming-paraformer-bilingual-zh-en/decoder.int8.onnx decoder.onnx
+mv sherpa-onnx-streaming-paraformer-bilingual-zh-en/tokens.txt ./
+
+rm -rf sherpa-onnx-streaming-paraformer-bilingual-zh-en
+
+cd ../
+
+sed -i.bak s/"type = 0"/"type = 1"/g ./sherpa-onnx.js
+sed -i.bak s/Zipformer/Paraformer/g ./index.html
+
+cd ../..
+
+./build-wasm-simd-asr.sh
+```
+
+You should have the following files in `assets` before you can run
+`build-wasm-simd-asr.sh`
+
+```
+assets fangjun$ tree -L 1
+.
+├── README.md
+├── decoder.onnx
+├── encoder.onnx
+└── tokens.txt
+
+0 directories, 4 files
+```

+<html lang="en">
+
+<head>
+  <meta charset="utf-8">
+  <meta name="viewport" content="width=device-width" />
+  <title>Next-gen Kaldi WebAssembly with sherpa-onnx for Text-to-speech</title>
+  <style>
+    h1,div {
+      text-align: center;
+    }
+    textarea {
+      width:100%;
+    }
+  </style>
+</head>
+
+<body>
+  <h1>
+    Next-gen Kaldi + WebAssembly<br/>
+    ASR Demo with <a href="https://github.com/k2-fsa/sherpa-onnx">sherpa-onnx</a><br/>
+    (with Zipformer)
+  </h1>
+
+  <div>
+    <span id="hint">Loading model ... ...</span>
+    <br/>
+    <br/>
+    <button id="startBtn" disabled>Start</button>
+    <button id="stopBtn" disabled>Stop</button>
+    <button id="clearBtn">Clear</button>
+    <br/>
+    <br/>
+    <textarea id="results" rows="10" readonly></textarea>
+  </div>
+
+  <section flex="1" overflow="auto" id="sound-clips">
+  </section>
+
+  <script src="sherpa-onnx.js"></script>
+  <script src="app.js"></script>
+  <script src="sherpa-onnx-wasm-asr-main.js"></script>
+</body>

+// wasm/sherpa-onnx-wasm-asr-main.cc
+//
+// Copyright (c)  2024  Xiaomi Corporation
+#include <stdio.h>
+
+#include <algorithm>
+#include <memory>
+
+#include "sherpa-onnx/c-api/c-api.h"
+
+// see also
+// https://emscripten.org/docs/porting/connecting_cpp_and_javascript/Interacting-with-code.html
+
+extern "C" {
+
+static_assert(sizeof(SherpaOnnxOnlineTransducerModelConfig) == 3 * 4, "");
+static_assert(sizeof(SherpaOnnxOnlineParaformerModelConfig) == 2 * 4, "");
+static_assert(sizeof(SherpaOnnxOnlineZipformer2CtcModelConfig) == 1 * 4, "");
+static_assert(sizeof(SherpaOnnxOnlineModelConfig) ==
+                  sizeof(SherpaOnnxOnlineTransducerModelConfig) +
+                      sizeof(SherpaOnnxOnlineParaformerModelConfig) +
+                      sizeof(SherpaOnnxOnlineZipformer2CtcModelConfig) + 5 * 4,
+              "");
+static_assert(sizeof(SherpaOnnxFeatureConfig) == 2 * 4, "");
+static_assert(sizeof(SherpaOnnxOnlineRecognizerConfig) ==
+                  sizeof(SherpaOnnxFeatureConfig) +
+                      sizeof(SherpaOnnxOnlineModelConfig) + 8 * 4,
+              "");
+
+void MyPrint(SherpaOnnxOnlineRecognizerConfig *config) {
+  auto model_config = &config->model_config;
+  auto feat = &config->feat_config;
+  auto transducer_model_config = &model_config->transducer;
+  auto paraformer_model_config = &model_config->paraformer;
+  auto ctc_model_config = &model_config->zipformer2_ctc;
+
+  fprintf(stdout, "----------online transducer model config----------\n");
+  fprintf(stdout, "encoder: %s\n", transducer_model_config->encoder);
+  fprintf(stdout, "decoder: %s\n", transducer_model_config->decoder);
+  fprintf(stdout, "joiner: %s\n", transducer_model_config->joiner);
+
+  fprintf(stdout, "----------online parformer model config----------\n");
+  fprintf(stdout, "encoder: %s\n", paraformer_model_config->encoder);
+  fprintf(stdout, "decoder: %s\n", paraformer_model_config->decoder);
+
+  fprintf(stdout, "----------online ctc model config----------\n");
+  fprintf(stdout, "model: %s\n", ctc_model_config->model);
+  fprintf(stdout, "tokens: %s\n", model_config->tokens);
+  fprintf(stdout, "num_threads: %d\n", model_config->num_threads);
+  fprintf(stdout, "provider: %s\n", model_config->provider);
+  fprintf(stdout, "debug: %d\n", model_config->debug);
+  fprintf(stdout, "model type: %s\n", model_config->model_type);
+
+  fprintf(stdout, "----------feat config----------\n");
+  fprintf(stdout, "sample rate: %d\n", feat->sample_rate);
+  fprintf(stdout, "feat dim: %d\n", feat->feature_dim);
+
+  fprintf(stdout, "----------recognizer config----------\n");
+  fprintf(stdout, "decoding method: %s\n", config->decoding_method);
+  fprintf(stdout, "max active paths: %d\n", config->max_active_paths);
+  fprintf(stdout, "enable_endpoint: %d\n", config->enable_endpoint);
+  fprintf(stdout, "rule1_min_trailing_silence: %.2f\n",
+          config->rule1_min_trailing_silence);
+  fprintf(stdout, "rule2_min_trailing_silence: %.2f\n",
+          config->rule2_min_trailing_silence);
+  fprintf(stdout, "rule3_min_utterance_length: %.2f\n",
+          config->rule3_min_utterance_length);
+  fprintf(stdout, "hotwords_file: %s\n", config->hotwords_file);
+  fprintf(stdout, "hotwords_score: %.2f\n", config->hotwords_score);
+}
+
+void CopyHeap(const char *src, int32_t num_bytes, char *dst) {
+  std::copy(src, src + num_bytes, dst);
+}
+}

+function freeConfig(config) {
+  if ('buffer' in config) {
+    _free(config.buffer);
+  }
+
+  if ('config' in config) {
+    freeConfig(config.config)
+  }
+
+  if ('transducer' in config) {
+    freeConfig(config.transducer)
+  }
+
+  if ('paraformer' in config) {
+    freeConfig(config.paraformer)
+  }
+
+  if ('ctc' in config) {
+    freeConfig(config.ctc)
+  }
+
+  if ('feat' in config) {
+    freeConfig(config.feat)
+  }
+
+  if ('model' in config) {
+    freeConfig(config.model)
+  }
+
+  _free(config.ptr);
+}
+
+// The user should free the returned pointers
+function initSherpaOnnxOnlineTransducerModelConfig(config) {
+  let encoderLen = lengthBytesUTF8(config.encoder) + 1;
+  let decoderLen = lengthBytesUTF8(config.decoder) + 1;
+  let joinerLen = lengthBytesUTF8(config.joiner) + 1;
+
+  let n = encoderLen + decoderLen + joinerLen;
+
+  let buffer = _malloc(n);
+
+  let len = 3 * 4;  // 3 pointers
+  let ptr = _malloc(len);
+
+  let offset = 0;
+  stringToUTF8(config.encoder, buffer + offset, encoderLen);
+  offset += encoderLen;
+
+  stringToUTF8(config.decoder, buffer + offset, decoderLen);
+  offset += decoderLen;
+
+  stringToUTF8(config.joiner, buffer + offset, joinerLen);
+
+  offset = 0;
+  setValue(ptr, buffer + offset, 'i8*');
+  offset += encoderLen;
+
+  setValue(ptr + 4, buffer + offset, 'i8*');
+  offset += decoderLen;
+
+  setValue(ptr + 8, buffer + offset, 'i8*');
+
+  return {
+    buffer: buffer, ptr: ptr, len: len,
+  }
+}
+
+function initSherpaOnnxOnlineParaformerModelConfig(config) {
+  let encoderLen = lengthBytesUTF8(config.encoder) + 1;
+  let decoderLen = lengthBytesUTF8(config.decoder) + 1;
+
+  let n = encoderLen + decoderLen;
+  let buffer = _malloc(n);
+
+  let len = 2 * 4;  // 2 pointers
+  let ptr = _malloc(len);
+
+  let offset = 0;
+  stringToUTF8(config.encoder, buffer + offset, encoderLen);
+  offset += encoderLen;
+
+  stringToUTF8(config.decoder, buffer + offset, decoderLen);
+
+  offset = 0;
+  setValue(ptr, buffer + offset, 'i8*');
+  offset += encoderLen;
+
+  setValue(ptr + 4, buffer + offset, 'i8*');
+
+  return {
+    buffer: buffer, ptr: ptr, len: len,
+  }
+}
+
+function initSherpaOnnxOnlineZipformer2CtcModelConfig(config) {
+  let n = lengthBytesUTF8(config.model) + 1;
+  let buffer = _malloc(n);
+
+  let len = 1 * 4;  // 1 pointer
+  let ptr = _malloc(len);
+
+  stringToUTF8(config.model, buffer, n);
+
+  setValue(ptr, buffer, 'i8*');
+
+  return {
+    buffer: buffer, ptr: ptr, len: len,
+  }
+}
+
+function initSherpaOnnxOnlineModelConfig(config) {
+  let transducer = initSherpaOnnxOnlineTransducerModelConfig(config.transducer);
+  let paraformer = initSherpaOnnxOnlineParaformerModelConfig(config.paraformer);
+  let ctc = initSherpaOnnxOnlineZipformer2CtcModelConfig(config.zipformer2Ctc);
+
+  let len = transducer.len + paraformer.len + ctc.len + 5 * 4;
+  let ptr = _malloc(len);
+
+  let offset = 0;
+  _CopyHeap(transducer.ptr, transducer.len, ptr + offset);
+  offset += transducer.len;
+
+  _CopyHeap(paraformer.ptr, paraformer.len, ptr + offset);
+  offset += paraformer.len;
+
+  _CopyHeap(ctc.ptr, ctc.len, ptr + offset);
+  offset += ctc.len;
+
+  let tokensLen = lengthBytesUTF8(config.tokens) + 1;
+  let providerLen = lengthBytesUTF8(config.provider) + 1;
+  let modelTypeLen = lengthBytesUTF8(config.modelType) + 1;
+  let bufferLen = tokensLen + providerLen + modelTypeLen;
+  let buffer = _malloc(bufferLen);
+
+  offset = 0;
+  stringToUTF8(config.tokens, buffer, tokensLen);
+  offset += tokensLen;
+
+  stringToUTF8(config.provider, buffer + offset, providerLen);
+  offset += providerLen;
+
+  stringToUTF8(config.modelType, buffer + offset, modelTypeLen);
+
+  offset = transducer.len + paraformer.len + ctc.len;
+  setValue(ptr + offset, buffer, 'i8*');  // tokens
+  offset += 4;
+
+  setValue(ptr + offset, config.numThreads, 'i32');
+  offset += 4;
+
+  setValue(ptr + offset, buffer + tokensLen, 'i8*');  // provider
+  offset += 4;
+
+  setValue(ptr + offset, config.debug, 'i32');
+  offset += 4;
+
+  setValue(ptr + offset, buffer + tokensLen + providerLen, 'i8*');  // modelType
+  offset += 4;
+
+  return {
+    buffer: buffer, ptr: ptr, len: len, transducer: transducer,
+        paraformer: paraformer, ctc: ctc
+  }
+}
+
+function initSherpaOnnxFeatureConfig(config) {
+  let len = 2 * 4;  // 2 pointers
+  let ptr = _malloc(len);
+
+  setValue(ptr, config.sampleRate, 'i32');
+  setValue(ptr + 4, config.featureDim, 'i32');
+  return {ptr: ptr, len: len};
+}
+
+function initSherpaOnnxOnlineRecognizerConfig(config) {
+  let feat = initSherpaOnnxFeatureConfig(config.featConfig);
+  let model = initSherpaOnnxOnlineModelConfig(config.modelConfig);
+
+  let len = feat.len + model.len + 8 * 4;
+  let ptr = _malloc(len);
+
+  let offset = 0;
+  _CopyHeap(feat.ptr, feat.len, ptr + offset);
+  offset += feat.len;
+
+  _CopyHeap(model.ptr, model.len, ptr + offset);
+  offset += model.len;
+
+  let decodingMethodLen = lengthBytesUTF8(config.decodingMethod) + 1;
+  let hotwordsFileLen = lengthBytesUTF8(config.hotwordsFile) + 1;
+  let bufferLen = decodingMethodLen + hotwordsFileLen;
+  let buffer = _malloc(bufferLen);
+
+  offset = 0;
+  stringToUTF8(config.decodingMethod, buffer, decodingMethodLen);
+  offset += decodingMethodLen;
+
+  stringToUTF8(config.hotwordsFile, buffer + offset, hotwordsFileLen);
+
+  offset = feat.len + model.len;
+  setValue(ptr + offset, buffer, 'i8*');  // decoding method
+  offset += 4;
+
+  setValue(ptr + offset, config.maxActivePaths, 'i32');
+  offset += 4;
+
+  setValue(ptr + offset, config.enableEndpoint, 'i32');
+  offset += 4;
+
+  setValue(ptr + offset, config.rule1MinTrailingSilence, 'float');
+  offset += 4;
+
+  setValue(ptr + offset, config.rule2MinTrailingSilence, 'float');
+  offset += 4;
+
+  setValue(ptr + offset, config.rule3MinUtteranceLength, 'float');
+  offset += 4;
+
+  setValue(ptr + offset, buffer + decodingMethodLen, 'i8*');
+  offset += 4;
+
+  setValue(ptr + offset, config.hotwordsScore, 'float');
+  offset += 4;
+
+  return {
+    buffer: buffer, ptr: ptr, len: len, feat: feat, model: model
+  }
+}
+
+
+function createRecognizer() {
+  let onlineTransducerModelConfig = {
+    encoder: '',
+    decoder: '',
+    joiner: '',
+  }
+
+  let onlineParaformerModelConfig = {
+    encoder: '',
+    decoder: '',
+  }
+
+  let onlineZipformer2CtcModelConfig = {
+    model: '',
+  }
+
+  let type = 0;
+
+  switch (type) {
+    case 0:
+      // transducer
+      onlineTransducerModelConfig.encoder = './encoder.onnx';
+      onlineTransducerModelConfig.decoder = './decoder.onnx';
+      onlineTransducerModelConfig.joiner = './joiner.onnx';
+      break;
+    case 1:
+      // paraformer
+      onlineParaformerModelConfig.encoder = './encoder.onnx';
+      onlineParaformerModelConfig.decoder = './decoder.onnx';
+      break;
+    case 2:
+      // ctc
+      onlineZipformer2CtcModelConfig.model = './encoder.onnx';
+      break;
+  }
+
+
+  let onlineModelConfig = {
+    transducer: onlineTransducerModelConfig,
+    paraformer: onlineParaformerModelConfig,
+    zipformer2Ctc: onlineZipformer2CtcModelConfig,
+    tokens: './tokens.txt',
+    numThreads: 1,
+    provider: 'cpu',
+    debug: 1,
+    modelType: '',
+  }
+
+  let featureConfig = {
+    sampleRate: 16000,
+    featureDim: 80,
+  }
+
+  let recognizerConfig = {
+    featConfig: featureConfig,
+    modelConfig: onlineModelConfig,
+    decodingMethod: 'greedy_search',
+    maxActivePaths: 4,
+    enableEndpoint: 1,
+    rule1MinTrailingSilence: 2.4,
+    rule2MinTrailingSilence: 1.2,
+    rule3MinUtteranceLength: 20,
+    hotwordsFile: '',
+    hotwordsScore: 1.5,
+  }
+
+  return new OnlineRecognizer(recognizerConfig);
+}
+
+class OnlineStream {
+  constructor(handle) {
+    this.handle = handle;
+    this.pointer = null;  // buffer
+    this.n = 0;           // buffer size
+  }
+
+  free() {
+    if (this.handle) {
+      _DestroyOnlineStream(this.handle);
+      this.handle = null;
+      _free(this.pointer);
+      this.pointer = null;
+      this.n = 0;
+    }
+  }
+
+  /**
+   * @param sampleRate {Number}
+   * @param samples {Float32Array} Containing samples in the range [-1, 1]
+   */
+  acceptWaveform(sampleRate, samples) {
+    if (this.n < samples.length) {
+      _free(this.pointer);
+      this.pointer = _malloc(samples.length * samples.BYTES_PER_ELEMENT);
+      this.n = samples.length
+    }
+
+    Module.HEAPF32.set(samples, this.pointer / samples.BYTES_PER_ELEMENT);
+    _AcceptWaveform(this.handle, sampleRate, this.pointer, samples.length);
+  }
+
+  inputFinished() {
+    _InputFinished(this.handle);
+  }
+};
+
+class OnlineRecognizer {
+  constructor(configObj) {
+    let config = initSherpaOnnxOnlineRecognizerConfig(configObj)
+    let handle = _CreateOnlineRecognizer(config.ptr);
+
+    freeConfig(config);
+
+    this.handle = handle;
+  }
+
+  free() {
+    _DestroyOnlineRecognizer(this.handle);
+    this.handle = 0
+  }
+
+  createStream() {
+    let handle = _CreateOnlineStream(this.handle);
+    return new OnlineStream(handle);
+  }
+
+  isReady(stream) {
+    return _IsOnlineStreamReady(this.handle, stream.handle) == 1;
+  }
+
+  decode(stream) {
+    return _DecodeOnlineStream(this.handle, stream.handle);
+  }
+
+  isEndpoint(stream) {
+    return _IsEndpoint(this.handle, stream.handle) == 1;
+  }
+
+  reset(stream) {
+    _Reset(this.handle, stream.handle);
+  }
+
+  getResult(stream) {
+    let r = _GetOnlineStreamResult(this.handle, stream.handle);
+    let textPtr = getValue(r, 'i8*');
+    let text = UTF8ToString(textPtr);
+    _DestroyOnlineRecognizerResult(r);
+    return text;
+  }
+}