Add C and CXX API for homophone replacer (#2156)

@@ -20,7 +20,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-20.04]
+        os: [ubuntu-latest]
         python-version: ["cp37", "cp38", "cp39", "cp310", "cp311", "cp312", "cp313"]
         manylinux: [manylinux2014] #, manylinux_2_28]
 

@@ -79,6 +79,48 @@ jobs:
             otool -L ./install/lib/libsherpa-onnx-c-api.dylib
           fi
 
+      - name: Test streaming zipformer with homophone replacer
+        shell: bash
+        run: |
+          name=streaming-zipformer-with-hr-c-api
+          gcc -o $name ./c-api-examples/$name.c \
+            -I ./build/install/include \
+            -L ./build/install/lib/ \
+            -l sherpa-onnx-c-api \
+            -l onnxruntime
+
+          ls -lh $name
+
+          if [[ ${{ matrix.os }} == ubuntu-latest || ${{ matrix.os }} == ubuntu-22.04-arm ]]; then
+            ldd ./$name
+            echo "----"
+            readelf -d ./$name
+          fi
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+          tar xvf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+          rm sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+
+          ls -lh sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20
+          echo "---"
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
+          tar xf dict.tar.bz2
+          rm dict.tar.bz2
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
+
+          export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
+          export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
+
+          ./$name
+
+          rm -rf sherpa-onnx-streaming-zipformer-*
+          rm -rf dict lexicon.txt test-hr.wav replace.fst
+          rm -v $name
+
       - name: Test Dolphin CTC
         shell: bash
         run: |

@@ -81,6 +81,49 @@ jobs:
             otool -L ./install/lib/libsherpa-onnx-cxx-api.dylib
           fi
 
+      - name: Test streaming zipformer with Homophone replacer
+        shell: bash
+        run: |
+          name=streaming-zipformer-with-hr-cxx-api
+          g++ -std=c++17 -o $name ./cxx-api-examples/$name.cc \
+            -I ./build/install/include \
+            -L ./build/install/lib/ \
+            -l sherpa-onnx-cxx-api \
+            -l sherpa-onnx-c-api \
+            -l onnxruntime
+
+          ls -lh $name
+
+          if [[ ${{ matrix.os }} == ubuntu-latest || ${{ matrix.os }} == ubuntu-22.04-arm ]]; then
+            ldd ./$name
+            echo "----"
+            readelf -d ./$name
+          fi
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+          tar xvf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+          rm sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+
+          ls -lh sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20
+          echo "---"
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
+          tar xf dict.tar.bz2
+          rm dict.tar.bz2
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
+
+          export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
+          export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
+
+          ./$name
+
+          rm -rf sherpa-onnx-streaming-zipformer-*
+          rm -rf dict lexicon.txt test-hr.wav replace.fst
+          rm -v ./$name
+
       - name: Test Dolphin CTC
         shell: bash
         run: |

@@ -56,6 +56,9 @@ target_link_libraries(fire-red-asr-c-api sherpa-onnx-c-api)
 add_executable(sense-voice-c-api sense-voice-c-api.c)
 target_link_libraries(sense-voice-c-api sherpa-onnx-c-api)
 
+add_executable(sense-voice-with-hr-c-api sense-voice-with-hr-c-api.c)
+target_link_libraries(sense-voice-with-hr-c-api sherpa-onnx-c-api)
+
 add_executable(dolphin-ctc-c-api dolphin-ctc-c-api.c)
 target_link_libraries(dolphin-ctc-c-api sherpa-onnx-c-api)
 
@@ -68,6 +71,9 @@ target_link_libraries(zipformer-c-api sherpa-onnx-c-api)
 add_executable(streaming-zipformer-c-api streaming-zipformer-c-api.c)
 target_link_libraries(streaming-zipformer-c-api sherpa-onnx-c-api)
 
+add_executable(streaming-zipformer-with-hr-c-api streaming-zipformer-with-hr-c-api.c)
+target_link_libraries(streaming-zipformer-with-hr-c-api sherpa-onnx-c-api)
+
 add_executable(paraformer-c-api paraformer-c-api.c)
 target_link_libraries(paraformer-c-api sherpa-onnx-c-api)
 

+// c-api-examples/sense-voice-with-hr-c-api.c
+//
+// Copyright (c)  2024-2025  Xiaomi Corporation
+
+//
+// This file demonstrates how to use SenseVoice with sherpa-onnx's C API
+// with homophone replacer.
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
+// tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
+// rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
+// tar xf dict.tar.bz2
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
+//
+// clang-format on
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+
+#include "sherpa-onnx/c-api/c-api.h"
+
+int32_t main() {
+  const char *wav_filename = "./test-hr.wav";
+  const char *model_filename =
+      "./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx";
+  const char *tokens_filename =
+      "./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt";
+  const char *language = "auto";
+  const char *provider = "cpu";
+  int32_t use_inverse_text_normalization = 1;
+
+  const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
+  if (wave == NULL) {
+    fprintf(stderr, "Failed to read %s\n", wav_filename);
+    return -1;
+  }
+
+  SherpaOnnxOfflineSenseVoiceModelConfig sense_voice_config;
+  memset(&sense_voice_config, 0, sizeof(sense_voice_config));
+  sense_voice_config.model = model_filename;
+  sense_voice_config.language = language;
+  sense_voice_config.use_itn = use_inverse_text_normalization;
+
+  // Offline model config
+  SherpaOnnxOfflineModelConfig offline_model_config;
+  memset(&offline_model_config, 0, sizeof(offline_model_config));
+  offline_model_config.debug = 1;
+  offline_model_config.num_threads = 1;
+  offline_model_config.provider = provider;
+  offline_model_config.tokens = tokens_filename;
+  offline_model_config.sense_voice = sense_voice_config;
+
+  // Recognizer config
+  SherpaOnnxOfflineRecognizerConfig recognizer_config;
+  memset(&recognizer_config, 0, sizeof(recognizer_config));
+  recognizer_config.decoding_method = "greedy_search";
+  recognizer_config.model_config = offline_model_config;
+  recognizer_config.hr.dict_dir = "./dict";
+  recognizer_config.hr.lexicon = "./lexicon.txt";
+
+  // Please see
+  // https://colab.research.google.com/drive/1jEaS3s8FbRJIcVQJv2EQx19EM_mnuARi?usp=sharing
+  // for how to generate your own replace.fst
+  recognizer_config.hr.rule_fsts = "./replace.fst";
+
+  const SherpaOnnxOfflineRecognizer *recognizer =
+      SherpaOnnxCreateOfflineRecognizer(&recognizer_config);
+
+  if (recognizer == NULL) {
+    fprintf(stderr, "Please check your config!\n");
+    SherpaOnnxFreeWave(wave);
+    return -1;
+  }
+
+  const SherpaOnnxOfflineStream *stream =
+      SherpaOnnxCreateOfflineStream(recognizer);
+
+  SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, wave->samples,
+                                  wave->num_samples);
+  SherpaOnnxDecodeOfflineStream(recognizer, stream);
+  const SherpaOnnxOfflineRecognizerResult *result =
+      SherpaOnnxGetOfflineStreamResult(stream);
+
+  fprintf(stderr, "Decoded text: %s\n", result->text);
+
+  SherpaOnnxDestroyOfflineRecognizerResult(result);
+  SherpaOnnxDestroyOfflineStream(stream);
+  SherpaOnnxDestroyOfflineRecognizer(recognizer);
+  SherpaOnnxFreeWave(wave);
+
+  return 0;
+}

+// c-api-examples/streaming-zipformer-with-hr-c-api.c
+//
+// Copyright (c)  2025  Xiaomi Corporation
+
+//
+// This file demonstrates how to use streaming Zipformer with sherpa-onnx's C
+// API.
+// clang-format off
+//
+// wget 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
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
+// tar xf dict.tar.bz2
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
+//
+// clang-format on
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+
+#include "sherpa-onnx/c-api/c-api.h"
+
+int32_t main() {
+  const char *wav_filename = "test-hr.wav";
+
+  const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
+  if (wave == NULL) {
+    fprintf(stderr, "Failed to read %s\n", wav_filename);
+    return -1;
+  }
+
+  // Online model config
+  SherpaOnnxOnlineModelConfig online_model_config;
+  memset(&online_model_config, 0, sizeof(online_model_config));
+  online_model_config.debug = 0;
+  online_model_config.num_threads = 1;
+  online_model_config.provider = "cpu";
+  online_model_config.tokens =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt";
+
+  online_model_config.transducer.encoder =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
+      "encoder-epoch-99-avg-1.int8.onnx";
+
+  // Note: We recommend not using int8.onnx for the decoder.
+  online_model_config.transducer.decoder =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
+      "decoder-epoch-99-avg-1.onnx";
+
+  online_model_config.transducer.joiner =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
+      "joiner-epoch-99-avg-1.int8.onnx";
+
+  online_model_config.tokens =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt";
+
+  online_model_config.num_threads = 1;
+
+  // Recognizer config
+  SherpaOnnxOnlineRecognizerConfig recognizer_config;
+  memset(&recognizer_config, 0, sizeof(recognizer_config));
+  recognizer_config.decoding_method = "greedy_search";
+  recognizer_config.model_config = online_model_config;
+
+  recognizer_config.hr.dict_dir = "./dict";
+  recognizer_config.hr.lexicon = "./lexicon.txt";
+
+  // Please see
+  // https://colab.research.google.com/drive/1jEaS3s8FbRJIcVQJv2EQx19EM_mnuARi?usp=sharing
+  // for how to generate your own replace.fst
+  recognizer_config.hr.rule_fsts = "./replace.fst";
+
+  const SherpaOnnxOnlineRecognizer *recognizer =
+      SherpaOnnxCreateOnlineRecognizer(&recognizer_config);
+
+  if (recognizer == NULL) {
+    fprintf(stderr, "Please check your config!\n");
+    SherpaOnnxFreeWave(wave);
+    return -1;
+  }
+
+  const SherpaOnnxOnlineStream *stream =
+      SherpaOnnxCreateOnlineStream(recognizer);
+
+  const SherpaOnnxDisplay *display = SherpaOnnxCreateDisplay(50);
+  int32_t segment_id = 0;
+
+// simulate streaming. You can choose an arbitrary N
+#define N 3200
+
+  fprintf(stderr, "sample rate: %d, num samples: %d, duration: %.2f s\n",
+          wave->sample_rate, wave->num_samples,
+          (float)wave->num_samples / wave->sample_rate);
+
+  int32_t k = 0;
+  while (k < wave->num_samples) {
+    int32_t start = k;
+    int32_t end =
+        (start + N > wave->num_samples) ? wave->num_samples : (start + N);
+    k += N;
+
+    SherpaOnnxOnlineStreamAcceptWaveform(stream, wave->sample_rate,
+                                         wave->samples + start, end - start);
+    while (SherpaOnnxIsOnlineStreamReady(recognizer, stream)) {
+      SherpaOnnxDecodeOnlineStream(recognizer, stream);
+    }
+
+    const SherpaOnnxOnlineRecognizerResult *r =
+        SherpaOnnxGetOnlineStreamResult(recognizer, stream);
+
+    if (strlen(r->text)) {
+      SherpaOnnxPrint(display, segment_id, r->text);
+    }
+
+    if (SherpaOnnxOnlineStreamIsEndpoint(recognizer, stream)) {
+      if (strlen(r->text)) {
+        ++segment_id;
+      }
+      SherpaOnnxOnlineStreamReset(recognizer, stream);
+    }
+
+    SherpaOnnxDestroyOnlineRecognizerResult(r);
+  }
+
+  // add some tail padding
+  float tail_paddings[4800] = {0};  // 0.3 seconds at 16 kHz sample rate
+  SherpaOnnxOnlineStreamAcceptWaveform(stream, wave->sample_rate, tail_paddings,
+                                       4800);
+
+  SherpaOnnxFreeWave(wave);
+
+  SherpaOnnxOnlineStreamInputFinished(stream);
+  while (SherpaOnnxIsOnlineStreamReady(recognizer, stream)) {
+    SherpaOnnxDecodeOnlineStream(recognizer, stream);
+  }
+
+  const SherpaOnnxOnlineRecognizerResult *r =
+      SherpaOnnxGetOnlineStreamResult(recognizer, stream);
+
+  if (strlen(r->text)) {
+    SherpaOnnxPrint(display, segment_id, r->text);
+  }
+
+  SherpaOnnxDestroyOnlineRecognizerResult(r);
+
+  SherpaOnnxDestroyDisplay(display);
+  SherpaOnnxDestroyOnlineStream(stream);
+  SherpaOnnxDestroyOnlineRecognizer(recognizer);
+  fprintf(stderr, "\n");
+
+  return 0;
+}

@@ -3,6 +3,9 @@ include_directories(${PROJECT_SOURCE_DIR})
 add_executable(streaming-zipformer-cxx-api ./streaming-zipformer-cxx-api.cc)
 target_link_libraries(streaming-zipformer-cxx-api sherpa-onnx-cxx-api)
 
+add_executable(streaming-zipformer-with-hr-cxx-api ./streaming-zipformer-with-hr-cxx-api.cc)
+target_link_libraries(streaming-zipformer-with-hr-cxx-api sherpa-onnx-cxx-api)
+
 add_executable(speech-enhancement-gtcrn-cxx-api ./speech-enhancement-gtcrn-cxx-api.cc)
 target_link_libraries(speech-enhancement-gtcrn-cxx-api sherpa-onnx-cxx-api)
 
@@ -24,6 +27,9 @@ target_link_libraries(moonshine-cxx-api sherpa-onnx-cxx-api)
 add_executable(sense-voice-cxx-api ./sense-voice-cxx-api.cc)
 target_link_libraries(sense-voice-cxx-api sherpa-onnx-cxx-api)
 
+add_executable(sense-voice-with-hr-cxx-api ./sense-voice-with-hr-cxx-api.cc)
+target_link_libraries(sense-voice-with-hr-cxx-api sherpa-onnx-cxx-api)
+
 add_executable(dolphin-ctc-cxx-api ./dolphin-ctc-cxx-api.cc)
 target_link_libraries(dolphin-ctc-cxx-api sherpa-onnx-cxx-api)
 

+// cxx-api-examples/sense-voice-with-hr-cxx-api.cc
+//
+// Copyright (c)  2024-2025  Xiaomi Corporation
+
+//
+// This file demonstrates how to use sense voice with sherpa-onnx's C++ API.
+//
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
+// tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
+// rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
+// tar xf dict.tar.bz2
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
+//
+// clang-format on
+
+#include <chrono>  // NOLINT
+#include <iostream>
+#include <string>
+
+#include "sherpa-onnx/c-api/cxx-api.h"
+
+int32_t main() {
+  using namespace sherpa_onnx::cxx;  // NOLINT
+  OfflineRecognizerConfig config;
+
+  config.model_config.sense_voice.model =
+      "./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx";
+  config.model_config.sense_voice.use_itn = true;
+  config.model_config.sense_voice.language = "auto";
+  config.model_config.tokens =
+      "./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt";
+  config.hr.dict_dir = "./dict";
+  config.hr.lexicon = "./lexicon.txt";
+
+  // Please see
+  // https://colab.research.google.com/drive/1jEaS3s8FbRJIcVQJv2EQx19EM_mnuARi?usp=sharing
+  // for how to generate your own replace.fst
+  config.hr.rule_fsts = "./replace.fst";
+
+  config.model_config.num_threads = 1;
+
+  std::cout << "Loading model\n";
+  OfflineRecognizer recongizer = OfflineRecognizer::Create(config);
+  if (!recongizer.Get()) {
+    std::cerr << "Please check your config\n";
+    return -1;
+  }
+  std::cout << "Loading model done\n";
+
+  std::string wave_filename = "./test-hr.wav";
+
+  Wave wave = ReadWave(wave_filename);
+  if (wave.samples.empty()) {
+    std::cerr << "Failed to read: '" << wave_filename << "'\n";
+    return -1;
+  }
+
+  std::cout << "Start recognition\n";
+  const auto begin = std::chrono::steady_clock::now();
+
+  OfflineStream stream = recongizer.CreateStream();
+  stream.AcceptWaveform(wave.sample_rate, wave.samples.data(),
+                        wave.samples.size());
+
+  recongizer.Decode(&stream);
+
+  OfflineRecognizerResult result = recongizer.GetResult(&stream);
+
+  const auto end = std::chrono::steady_clock::now();
+  const float elapsed_seconds =
+      std::chrono::duration_cast<std::chrono::milliseconds>(end - begin)
+          .count() /
+      1000.;
+  float duration = wave.samples.size() / static_cast<float>(wave.sample_rate);
+  float rtf = elapsed_seconds / duration;
+
+  std::cout << "text: " << result.text << "\n";
+  printf("Number of threads: %d\n", config.model_config.num_threads);
+  printf("Duration: %.3fs\n", duration);
+  printf("Elapsed seconds: %.3fs\n", elapsed_seconds);
+  printf("(Real time factor) RTF = %.3f / %.3f = %.3f\n", elapsed_seconds,
+         duration, rtf);
+
+  return 0;
+}

+// cxx-api-examples/streaming-zipformer-with-hr-cxx-api.cc
+// Copyright (c)  2024-2025  Xiaomi Corporation
+
+//
+// This file demonstrates how to use streaming Zipformer
+// with sherpa-onnx's C++ API.
+//
+// clang-format off
+//
+// wget 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
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
+// tar xf dict.tar.bz2
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
+//
+// clang-format on
+
+#include <chrono>  // NOLINT
+#include <iostream>
+#include <string>
+
+#include "sherpa-onnx/c-api/cxx-api.h"
+
+int32_t main() {
+  using namespace sherpa_onnx::cxx;  // NOLINT
+  OnlineRecognizerConfig config;
+
+  // please see
+  // https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#csukuangfj-sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20-bilingual-chinese-english
+  config.model_config.transducer.encoder =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
+      "encoder-epoch-99-avg-1.int8.onnx";
+
+  // Note: We recommend not using int8.onnx for the decoder.
+  config.model_config.transducer.decoder =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
+      "decoder-epoch-99-avg-1.onnx";
+
+  config.model_config.transducer.joiner =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
+      "joiner-epoch-99-avg-1.int8.onnx";
+
+  config.model_config.tokens =
+      "./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt";
+
+  config.model_config.num_threads = 1;
+
+  config.hr.dict_dir = "./dict";
+  config.hr.lexicon = "./lexicon.txt";
+
+  // Please see
+  // https://colab.research.google.com/drive/1jEaS3s8FbRJIcVQJv2EQx19EM_mnuARi?usp=sharing
+  // for how to generate your own replace.fst
+  config.hr.rule_fsts = "./replace.fst";
+
+  std::cout << "Loading model\n";
+  OnlineRecognizer recongizer = OnlineRecognizer::Create(config);
+  if (!recongizer.Get()) {
+    std::cerr << "Please check your config\n";
+    return -1;
+  }
+  std::cout << "Loading model done\n";
+
+  std::string wave_filename = "./test-hr.wav";
+  Wave wave = ReadWave(wave_filename);
+  if (wave.samples.empty()) {
+    std::cerr << "Failed to read: '" << wave_filename << "'\n";
+    return -1;
+  }
+
+  std::cout << "Start recognition\n";
+  const auto begin = std::chrono::steady_clock::now();
+
+  OnlineStream stream = recongizer.CreateStream();
+  stream.AcceptWaveform(wave.sample_rate, wave.samples.data(),
+                        wave.samples.size());
+  stream.InputFinished();
+
+  while (recongizer.IsReady(&stream)) {
+    recongizer.Decode(&stream);
+  }
+
+  OnlineRecognizerResult result = recongizer.GetResult(&stream);
+
+  const auto end = std::chrono::steady_clock::now();
+  const float elapsed_seconds =
+      std::chrono::duration_cast<std::chrono::milliseconds>(end - begin)
+          .count() /
+      1000.;
+  float duration = wave.samples.size() / static_cast<float>(wave.sample_rate);
+  float rtf = elapsed_seconds / duration;
+
+  std::cout << "text: " << result.text << "\n";
+  printf("Number of threads: %d\n", config.model_config.num_threads);
+  printf("Duration: %.3fs\n", duration);
+  printf("Elapsed seconds: %.3fs\n", elapsed_seconds);
+  printf("(Real time factor) RTF = %.3f / %.3f = %.3f\n", elapsed_seconds,
+         duration, rtf);
+
+  return 0;
+}

@@ -153,6 +153,10 @@ static sherpa_onnx::OnlineRecognizerConfig GetOnlineRecognizerConfig(
   recognizer_config.rule_fsts = SHERPA_ONNX_OR(config->rule_fsts, "");
   recognizer_config.rule_fars = SHERPA_ONNX_OR(config->rule_fars, "");
 
+  recognizer_config.hr.dict_dir = SHERPA_ONNX_OR(config->hr.dict_dir, "");
+  recognizer_config.hr.lexicon = SHERPA_ONNX_OR(config->hr.lexicon, "");
+  recognizer_config.hr.rule_fsts = SHERPA_ONNX_OR(config->hr.rule_fsts, "");
+
   if (config->model_config.debug) {
 #if __OHOS__
     SHERPA_ONNX_LOGE("%{public}s\n", recognizer_config.ToString().c_str());
@@ -494,6 +498,10 @@ static sherpa_onnx::OfflineRecognizerConfig GetOfflineRecognizerConfig(
   recognizer_config.rule_fsts = SHERPA_ONNX_OR(config->rule_fsts, "");
   recognizer_config.rule_fars = SHERPA_ONNX_OR(config->rule_fars, "");
 
+  recognizer_config.hr.dict_dir = SHERPA_ONNX_OR(config->hr.dict_dir, "");
+  recognizer_config.hr.lexicon = SHERPA_ONNX_OR(config->hr.lexicon, "");
+  recognizer_config.hr.rule_fsts = SHERPA_ONNX_OR(config->hr.rule_fsts, "");
+
   if (config->model_config.debug) {
 #if __OHOS__
     SHERPA_ONNX_LOGE("%{public}s\n", recognizer_config.ToString().c_str());

@@ -112,6 +112,12 @@ SHERPA_ONNX_API typedef struct SherpaOnnxOnlineCtcFstDecoderConfig {
   int32_t max_active;
 } SherpaOnnxOnlineCtcFstDecoderConfig;
 
+SHERPA_ONNX_API typedef struct SherpaOnnxHomophoneReplacerConfig {
+  const char *dict_dir;
+  const char *lexicon;
+  const char *rule_fsts;
+} SherpaOnnxHomophoneReplacerConfig;
+
 SHERPA_ONNX_API typedef struct SherpaOnnxOnlineRecognizerConfig {
   SherpaOnnxFeatureConfig feat_config;
   SherpaOnnxOnlineModelConfig model_config;
@@ -157,6 +163,7 @@ SHERPA_ONNX_API typedef struct SherpaOnnxOnlineRecognizerConfig {
   const char *hotwords_buf;
   /// byte size excluding the tailing '\0'
   int32_t hotwords_buf_size;
+  SherpaOnnxHomophoneReplacerConfig hr;
 } SherpaOnnxOnlineRecognizerConfig;
 
 SHERPA_ONNX_API typedef struct SherpaOnnxOnlineRecognizerResult {
@@ -461,6 +468,8 @@ SHERPA_ONNX_API typedef struct SherpaOnnxOfflineRecognizerConfig {
   const char *rule_fsts;
   const char *rule_fars;
   float blank_penalty;
+
+  SherpaOnnxHomophoneReplacerConfig hr;
 } SherpaOnnxOfflineRecognizerConfig;
 
 SHERPA_ONNX_API typedef struct SherpaOnnxOfflineRecognizer

@@ -99,6 +99,10 @@ OnlineRecognizer OnlineRecognizer::Create(
   c.hotwords_buf = config.hotwords_buf.c_str();
   c.hotwords_buf_size = config.hotwords_buf.size();
 
+  c.hr.dict_dir = config.hr.dict_dir.c_str();
+  c.hr.lexicon = config.hr.lexicon.c_str();
+  c.hr.rule_fsts = config.hr.rule_fsts.c_str();
+
   auto p = SherpaOnnxCreateOnlineRecognizer(&c);
   return OnlineRecognizer(p);
 }
@@ -261,6 +265,10 @@ OfflineRecognizer OfflineRecognizer::Create(
 
   c.blank_penalty = config.blank_penalty;
 
+  c.hr.dict_dir = config.hr.dict_dir.c_str();
+  c.hr.lexicon = config.hr.lexicon.c_str();
+  c.hr.rule_fsts = config.hr.rule_fsts.c_str();
+
   auto p = SherpaOnnxCreateOfflineRecognizer(&c);
   return OfflineRecognizer(p);
 }

@@ -55,6 +55,12 @@ struct OnlineCtcFstDecoderConfig {
   int32_t max_active = 3000;
 };
 
+struct HomophoneReplacerConfig {
+  std::string dict_dir;
+  std::string lexicon;
+  std::string rule_fsts;
+};
+
 struct OnlineRecognizerConfig {
   FeatureConfig feat_config;
   OnlineModelConfig model_config;
@@ -81,6 +87,7 @@ struct OnlineRecognizerConfig {
   float blank_penalty = 0;
 
   std::string hotwords_buf;
+  HomophoneReplacerConfig hr;
 };
 
 struct OnlineRecognizerResult {
@@ -280,6 +287,7 @@ struct SHERPA_ONNX_API OfflineRecognizerConfig {
   std::string rule_fsts;
   std::string rule_fars;
   float blank_penalty = 0;
+  HomophoneReplacerConfig hr;
 };
 
 struct SHERPA_ONNX_API OfflineRecognizerResult {