Fix C api for Go and MFC to support streaming paraformer (#268)

@@ -178,9 +178,14 @@ jobs:
 
 
           echo "Test transducer"
           echo "Test transducer"
           git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-en-2023-06-26
           git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-en-2023-06-26
-          ./run.sh
+          ./run-transducer.sh
           rm -rf sherpa-onnx-streaming-zipformer-en-2023-06-26
           rm -rf sherpa-onnx-streaming-zipformer-en-2023-06-26
 
 
+          echo "Test paraformer"
+          git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-paraformer-bilingual-zh-en
+          ./run-paraformer.sh
+          rm -rf sherpa-onnx-streaming-paraformer-bilingual-zh-en
+
       - name: Test streaming decoding files (Win64)
       - name: Test streaming decoding files (Win64)
         if: matrix.os == 'windows-latest' && matrix.arch == 'x64'
         if: matrix.os == 'windows-latest' && matrix.arch == 'x64'
         shell: bash
         shell: bash
@@ -202,9 +207,14 @@ jobs:
 
 
           echo "Test transducer"
           echo "Test transducer"
           git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-en-2023-06-26
           git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-en-2023-06-26
-          ./run.sh
+          ./run-transducer.sh
           rm -rf sherpa-onnx-streaming-zipformer-en-2023-06-26
           rm -rf sherpa-onnx-streaming-zipformer-en-2023-06-26
 
 
+          echo "Test paraformer"
+          git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-paraformer-bilingual-zh-en
+          ./run-paraformer.sh
+          rm -rf sherpa-onnx-streaming-paraformer-bilingual-zh-en
+
       - name: Test streaming decoding files (Win32)
       - name: Test streaming decoding files (Win32)
         if: matrix.os == 'windows-latest' && matrix.arch == 'x86'
         if: matrix.os == 'windows-latest' && matrix.arch == 'x86'
         shell: bash
         shell: bash
@@ -235,5 +245,10 @@ jobs:
 
 
           echo "Test transducer"
           echo "Test transducer"
           git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-en-2023-06-26
           git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-en-2023-06-26
-          ./run.sh
+          ./run-transducer.sh
           rm -rf sherpa-onnx-streaming-zipformer-en-2023-06-26
           rm -rf sherpa-onnx-streaming-zipformer-en-2023-06-26
+
+          echo "Test paraformer"
+          git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-paraformer-bilingual-zh-en
+          ./run-paraformer.sh
+          rm -rf sherpa-onnx-streaming-paraformer-bilingual-zh-en

 cmake_minimum_required(VERSION 3.13 FATAL_ERROR)
 cmake_minimum_required(VERSION 3.13 FATAL_ERROR)
 project(sherpa-onnx)
 project(sherpa-onnx)
 
 
-set(SHERPA_ONNX_VERSION "1.7.4")
+set(SHERPA_ONNX_VERSION "1.7.5")
 
 
 # Disable warning about
 # Disable warning about
 #
 #

@@ -33,9 +33,11 @@ func main() {
 	config := sherpa.OnlineRecognizerConfig{}
 	config := sherpa.OnlineRecognizerConfig{}
 	config.FeatConfig = sherpa.FeatureConfig{SampleRate: 16000, FeatureDim: 80}
 	config.FeatConfig = sherpa.FeatureConfig{SampleRate: 16000, FeatureDim: 80}
 
 
-	flag.StringVar(&config.ModelConfig.Encoder, "encoder", "", "Path to the encoder model")
-	flag.StringVar(&config.ModelConfig.Decoder, "decoder", "", "Path to the decoder model")
-	flag.StringVar(&config.ModelConfig.Joiner, "joiner", "", "Path to the joiner model")
+	flag.StringVar(&config.ModelConfig.Transducer.Encoder, "encoder", "", "Path to the transducer encoder model")
+	flag.StringVar(&config.ModelConfig.Transducer.Decoder, "decoder", "", "Path to the transducer decoder model")
+	flag.StringVar(&config.ModelConfig.Transducer.Joiner, "joiner", "", "Path to the transducer joiner model")
+	flag.StringVar(&config.ModelConfig.Paraformer.Encoder, "paraformer-encoder", "", "Path to the paraformer encoder model")
+	flag.StringVar(&config.ModelConfig.Paraformer.Decoder, "paraformer-decoder", "", "Path to the paraformer decoder model")
 	flag.StringVar(&config.ModelConfig.Tokens, "tokens", "", "Path to the tokens file")
 	flag.StringVar(&config.ModelConfig.Tokens, "tokens", "", "Path to the tokens file")
 	flag.IntVar(&config.ModelConfig.NumThreads, "num-threads", 1, "Number of threads for computing")
 	flag.IntVar(&config.ModelConfig.NumThreads, "num-threads", 1, "Number of threads for computing")
 	flag.IntVar(&config.ModelConfig.Debug, "debug", 0, "Whether to show debug message")
 	flag.IntVar(&config.ModelConfig.Debug, "debug", 0, "Whether to show debug message")

@@ -17,9 +17,11 @@ func main() {
 	config := sherpa.OnlineRecognizerConfig{}
 	config := sherpa.OnlineRecognizerConfig{}
 	config.FeatConfig = sherpa.FeatureConfig{SampleRate: 16000, FeatureDim: 80}
 	config.FeatConfig = sherpa.FeatureConfig{SampleRate: 16000, FeatureDim: 80}
 
 
-	flag.StringVar(&config.ModelConfig.Encoder, "encoder", "", "Path to the encoder model")
-	flag.StringVar(&config.ModelConfig.Decoder, "decoder", "", "Path to the decoder model")
-	flag.StringVar(&config.ModelConfig.Joiner, "joiner", "", "Path to the joiner model")
+	flag.StringVar(&config.ModelConfig.Transducer.Encoder, "encoder", "", "Path to the transducer encoder model")
+	flag.StringVar(&config.ModelConfig.Transducer.Decoder, "decoder", "", "Path to the transducer decoder model")
+	flag.StringVar(&config.ModelConfig.Transducer.Joiner, "joiner", "", "Path to the transducer joiner model")
+	flag.StringVar(&config.ModelConfig.Paraformer.Encoder, "paraformer-encoder", "", "Path to the paraformer encoder model")
+	flag.StringVar(&config.ModelConfig.Paraformer.Decoder, "paraformer-decoder", "", "Path to the paraformer decoder model")
 	flag.StringVar(&config.ModelConfig.Tokens, "tokens", "", "Path to the tokens file")
 	flag.StringVar(&config.ModelConfig.Tokens, "tokens", "", "Path to the tokens file")
 	flag.IntVar(&config.ModelConfig.NumThreads, "num-threads", 1, "Number of threads for computing")
 	flag.IntVar(&config.ModelConfig.NumThreads, "num-threads", 1, "Number of threads for computing")
 	flag.IntVar(&config.ModelConfig.Debug, "debug", 0, "Whether to show debug message")
 	flag.IntVar(&config.ModelConfig.Debug, "debug", 0, "Whether to show debug message")

+#!/usr/bin/env bash
+
+# Please refer to
+# https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/paraformer-models.html#csukuangfj-sherpa-onnx-streaming-paraformer-bilingual-zh-en-chinese-english
+# to download the model files
+
+if [ ! -d ./sherpa-onnx-streaming-paraformer-bilingual-zh-en ]; then
+  GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-paraformer-bilingual-zh-en
+  cd sherpa-onnx-streaming-paraformer-bilingual-zh-en
+  git lfs pull --include "*.onnx"
+  cd ..
+fi
+
+./streaming-decode-files \
+  --paraformer-encoder ./sherpa-onnx-streaming-paraformer-bilingual-zh-en/encoder.int8.onnx \
+  --paraformer-decoder ./sherpa-onnx-streaming-paraformer-bilingual-zh-en/decoder.int8.onnx \
+  --tokens ./sherpa-onnx-streaming-paraformer-bilingual-zh-en/tokens.txt \
+  --decoding-method greedy_search \
+  --model-type paraformer \
+  --debug 0 \
+  ./sherpa-onnx-streaming-paraformer-bilingual-zh-en/test_wavs/0.wav

@@ -306,12 +306,10 @@ void CNonStreamingSpeechRecognitionDlg::ShowInitRecognizerHelpMessage() {
       "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html "
       "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html "
       "\r\n";
       "\r\n";
   msg += "to download a non-streaming model, i.e., an offline model.\r\n";
   msg += "to download a non-streaming model, i.e., an offline model.\r\n";
+  msg += "You need to rename them after downloading\r\n\r\n";
+  msg += "It supports transducer, paraformer, and whisper models.\r\n\r\n";
   msg +=
   msg +=
-      "You need to rename them to encoder.onnx, decoder.onnx, and "
-      "joiner.onnx correspoondingly.\r\n\r\n";
-  msg += "It supports both transducer models and paraformer models.\r\n\r\n";
-  msg +=
-      "We give two examples below to show you how to download models\r\n\r\n";
+      "We give three examples below to show you how to download models\r\n\r\n";
   msg += "(1) Transducer\r\n\r\n";
   msg += "(1) Transducer\r\n\r\n";
   msg +=
   msg +=
       "We use "
       "We use "
@@ -346,13 +344,82 @@ void CNonStreamingSpeechRecognitionDlg::ShowInitRecognizerHelpMessage() {
       "https://huggingface.co/csukuangfj/sherpa-onnx-paraformer-zh-2023-03-28/"
       "https://huggingface.co/csukuangfj/sherpa-onnx-paraformer-zh-2023-03-28/"
       "resolve/main/tokens.txt\r\n\r\n";
       "resolve/main/tokens.txt\r\n\r\n";
   msg += "\r\n Now rename them\r\n";
   msg += "\r\n Now rename them\r\n";
-  msg += "mv model.onnx paraformer.onnx\r\n";
+  msg += "mv model.onnx paraformer.onnx\r\n\r\n";
+  msg += "(3) Whisper\r\n\r\n";
+  msg +=
+      "wget "
+      "https://huggingface.co/csukuangfj/sherpa-onnx-whisper-tiny.en/resolve/"
+      "main/tiny.en-encoder.onnx\r\n";
+  msg +=
+      "wget "
+      "https://huggingface.co/csukuangfj/sherpa-onnx-whisper-tiny.en/resolve/"
+      "main/tiny.en-decoder.onnx\r\n";
+  msg +=
+      "wget "
+      "https://huggingface.co/csukuangfj/sherpa-onnx-whisper-tiny.en/resolve/"
+      "main/tiny.en-tokens.txt\r\n";
+  msg += "\r\n Now rename them\r\n";
+  msg += "mv tiny.en-encoder.onnx whisper-encoder.onnx\r\n";
+  msg += "mv tiny.en-decoder.onnx whisper-decoder.onnx\r\n";
   msg += "\r\n";
   msg += "\r\n";
   msg += "That's it!\r\n";
   msg += "That's it!\r\n";
 
 
   AppendLineToMultilineEditCtrl(msg);
   AppendLineToMultilineEditCtrl(msg);
 }
 }
 
 
+void CNonStreamingSpeechRecognitionDlg::InitWhisper() {
+  std::string whisper_encoder = "./whisper-encoder.onnx";
+  std::string whisper_decoder = "./whisper-decoder.onnx";
+
+  std::string tokens = "./tokens.txt";
+
+  bool is_ok = true;
+
+  if (Exists("./whisper-encoder.int8.onnx")) {
+    whisper_encoder = "./whisper-encoder.int8.onnx";
+  } else if (!Exists(whisper_encoder)) {
+    std::string msg = whisper_encoder + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (Exists("./whisper-decoder.int8.onnx")) {
+    whisper_decoder = "./whisper-decoder.int8.onnx";
+  } else if (!Exists(whisper_decoder)) {
+    std::string msg = whisper_decoder + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (!Exists(tokens)) {
+    std::string msg = tokens + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (!is_ok) {
+    ShowInitRecognizerHelpMessage();
+    return;
+  }
+
+  memset(&config_, 0, sizeof(config_));
+
+  config_.feat_config.sample_rate = 16000;
+  config_.feat_config.feature_dim = 80;
+
+  config_.model_config.whisper.encoder = whisper_encoder.c_str();
+  config_.model_config.whisper.decoder = whisper_decoder.c_str();
+  config_.model_config.tokens = tokens.c_str();
+  config_.model_config.num_threads = 1;
+  config_.model_config.debug = 1;
+  config_.model_config.model_type = "whisper";
+
+  config_.decoding_method = "greedy_search";
+  config_.max_active_paths = 4;
+
+  recognizer_ = CreateOfflineRecognizer(&config_);
+}
+
 void CNonStreamingSpeechRecognitionDlg::InitParaformer() {
 void CNonStreamingSpeechRecognitionDlg::InitParaformer() {
   std::string paraformer = "./paraformer.onnx";
   std::string paraformer = "./paraformer.onnx";
   std::string tokens = "./tokens.txt";
   std::string tokens = "./tokens.txt";
@@ -401,6 +468,11 @@ void CNonStreamingSpeechRecognitionDlg::InitRecognizer() {
     return;
     return;
   }
   }
 
 
+  if (Exists("./whisper-encoder.onnx") || Exists("./whisper-encoder.int8.onnx")) {
+    InitWhisper();
+    return;
+  }
+
   // assume it is transducer
   // assume it is transducer
 
 
   std::string encoder = "./encoder.onnx";
   std::string encoder = "./encoder.onnx";

@@ -69,5 +69,6 @@ class CNonStreamingSpeechRecognitionDlg : public CDialogEx {
   void InitRecognizer();
   void InitRecognizer();
 
 
   void InitParaformer();
   void InitParaformer();
+  void InitWhisper();
   void ShowInitRecognizerHelpMessage();
   void ShowInitRecognizerHelpMessage();
 };
 };

@@ -234,50 +234,18 @@ bool CStreamingSpeechRecognitionDlg::Exists(const std::string &filename) {
   return is.good();
   return is.good();
 }
 }
 
 
-void CStreamingSpeechRecognitionDlg::InitRecognizer() {
-  std::string encoder = "./encoder.onnx";
-  std::string decoder = "./decoder.onnx";
-  std::string joiner = "./joiner.onnx";
-  std::string tokens = "./tokens.txt";
-
-  bool is_ok = true;
-  if (!Exists(encoder)) {
-    std::string msg = encoder + " does not exist!";
-    AppendLineToMultilineEditCtrl(msg);
-    is_ok = false;
-  }
-
-  if (!Exists(decoder)) {
-    std::string msg = decoder + " does not exist!";
-    AppendLineToMultilineEditCtrl(msg);
-    is_ok = false;
-  }
-
-  if (!Exists(joiner)) {
-    std::string msg = joiner + " does not exist!";
-    AppendLineToMultilineEditCtrl(msg);
-    is_ok = false;
-  }
-
-  if (!Exists(tokens)) {
-    std::string msg = tokens + " does not exist!";
-    AppendLineToMultilineEditCtrl(msg);
-    is_ok = false;
-  }
-
-  if (!is_ok) {
+void CStreamingSpeechRecognitionDlg::ShowInitRecognizerHelpMessage() {
     my_btn_.EnableWindow(FALSE);
     my_btn_.EnableWindow(FALSE);
     std::string msg =
     std::string msg =
         "\r\nPlease go to\r\n"
         "\r\nPlease go to\r\n"
         "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html "
         "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html "
         "\r\n";
         "\r\n";
     msg += "to download a streaming model, i.e., an online model.\r\n";
     msg += "to download a streaming model, i.e., an online model.\r\n";
+    msg += "You need to rename them after downloading\r\n\r\n";
+    msg += "It supports both transducer and paraformer models.\r\n\r\n";
     msg +=
     msg +=
-        "You need to rename them to encoder.onnx, decoder.onnx, and "
-        "joiner.onnx correspoondingly.\r\n\r\n";
-    msg +=
-        "We use the following model as an example to show you how to do "
-        "that.\r\n";
+      "We give two examples below to show you how to download models\r\n\r\n";
+    msg += "(1) Transducer\r\n\r\n";
     msg +=
     msg +=
         "https://huggingface.co/pkufool/"
         "https://huggingface.co/pkufool/"
         "icefall-asr-zipformer-streaming-wenetspeech-20230615";
         "icefall-asr-zipformer-streaming-wenetspeech-20230615";
@@ -308,13 +276,132 @@ void CStreamingSpeechRecognitionDlg::InitRecognizer() {
     msg += "mv decoder-epoch-12-avg-4-chunk-16-left-128.onnx decoder.onnx\r\n";
     msg += "mv decoder-epoch-12-avg-4-chunk-16-left-128.onnx decoder.onnx\r\n";
     msg += "mv joiner-epoch-12-avg-4-chunk-16-left-128.onnx joiner.onnx\r\n";
     msg += "mv joiner-epoch-12-avg-4-chunk-16-left-128.onnx joiner.onnx\r\n";
     msg += "\r\n";
     msg += "\r\n";
+    msg += "(2) Paraformer\r\n\r\n";
+    msg +=
+        "wget "
+        "https://huggingface.co/csukuangfj/"
+        "sherpa-onnx-streaming-paraformer-bilingual-zh-en/resolve/main/"
+        "encoder.int8.onnx\r\n";
+    msg +=
+        "wget "
+        "https://huggingface.co/csukuangfj/"
+        "sherpa-onnx-streaming-paraformer-bilingual-zh-en/resolve/main/"
+        "decoder.int8.onnx\r\n";
+    msg +=
+        "wget "
+        "https://huggingface.co/csukuangfj/"
+        "sherpa-onnx-streaming-paraformer-bilingual-zh-en/resolve/main/"
+        "tokens.txt\r\n";
+    msg += "\r\nNow rename them.\r\n";
+    msg += "mv encoder.int8.onnx paraformer-encoder.onnx\r\n";
+    msg += "mv decoder.int8.onnx paraformer-decoder.onnx\r\n\r\n";
     msg += "That's it!\r\n";
     msg += "That's it!\r\n";
 
 
     AppendLineToMultilineEditCtrl(msg);
     AppendLineToMultilineEditCtrl(msg);
+}
+
+void CStreamingSpeechRecognitionDlg::InitParaformer() {
+  std::string paraformer_encoder = "./paraformer-encoder.onnx";
+  std::string paraformer_decoder = "./paraformer-decoder.onnx";
+
+  std::string tokens = "./tokens.txt";
+
+  bool is_ok = true;
+
+  if (Exists("./paraformer-encoder.int8.onnx")) {
+    paraformer_encoder = "./paraformer-encoder.int8.onnx";
+  } else if (!Exists(paraformer_encoder)) {
+    std::string msg = paraformer_encoder + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (Exists("./paraformer-decoder.int8.onnx")) {
+    paraformer_decoder = "./paraformer-decoder.int8.onnx";
+  } else if (!Exists(paraformer_decoder)) {
+    std::string msg = paraformer_decoder + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (!Exists(tokens)) {
+    std::string msg = tokens + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (!is_ok) {
+    ShowInitRecognizerHelpMessage();
+    return;
+  }
+
+  SherpaOnnxOnlineRecognizerConfig config;
+  memset(&config, 0, sizeof(config));
+  config.model_config.debug = 0;
+  config.model_config.num_threads = 1;
+  config.model_config.provider = "cpu";
+
+  config.decoding_method = "greedy_search";
+  config.max_active_paths = 4;
+
+  config.feat_config.sample_rate = 16000;
+  config.feat_config.feature_dim = 80;
+
+  config.enable_endpoint = 1;
+  config.rule1_min_trailing_silence = 1.2f;
+  config.rule2_min_trailing_silence = 0.8f;
+  config.rule3_min_utterance_length = 300.0f;
+
+  config.model_config.tokens = tokens.c_str();
+  config.model_config.paraformer.encoder = paraformer_encoder.c_str();
+  config.model_config.paraformer.decoder = paraformer_decoder.c_str();
+
+  recognizer_ = CreateOnlineRecognizer(&config);
+}
+
+void CStreamingSpeechRecognitionDlg::InitRecognizer() {
+  if (Exists("./paraformer-encoder.onnx") || Exists("./paraformer-encoder.int8.onnx")) {
+    InitParaformer();
+    return;
+  }
+
+  std::string encoder = "./encoder.onnx";
+  std::string decoder = "./decoder.onnx";
+  std::string joiner = "./joiner.onnx";
+  std::string tokens = "./tokens.txt";
+
+  bool is_ok = true;
+  if (!Exists(encoder)) {
+    std::string msg = encoder + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (!Exists(decoder)) {
+    std::string msg = decoder + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (!Exists(joiner)) {
+    std::string msg = joiner + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (!Exists(tokens)) {
+    std::string msg = tokens + " does not exist!";
+    AppendLineToMultilineEditCtrl(msg);
+    is_ok = false;
+  }
+
+  if (!is_ok) {
+    ShowInitRecognizerHelpMessage();
     return;
     return;
   }
   }
 
 
   SherpaOnnxOnlineRecognizerConfig config;
   SherpaOnnxOnlineRecognizerConfig config;
+  memset(&config, 0, sizeof(config));
   config.model_config.debug = 0;
   config.model_config.debug = 0;
   config.model_config.num_threads = 1;
   config.model_config.num_threads = 1;
   config.model_config.provider = "cpu";
   config.model_config.provider = "cpu";
@@ -331,9 +418,9 @@ void CStreamingSpeechRecognitionDlg::InitRecognizer() {
   config.rule3_min_utterance_length = 300.0f;
   config.rule3_min_utterance_length = 300.0f;
 
 
   config.model_config.tokens = tokens.c_str();
   config.model_config.tokens = tokens.c_str();
-  config.model_config.encoder = encoder.c_str();
-  config.model_config.decoder = decoder.c_str();
-  config.model_config.joiner = joiner.c_str();
+  config.model_config.transducer.encoder = encoder.c_str();
+  config.model_config.transducer.decoder = decoder.c_str();
+  config.model_config.transducer.joiner = joiner.c_str();
 
 
   recognizer_ = CreateOnlineRecognizer(&config);
   recognizer_ = CreateOnlineRecognizer(&config);
 }
 }

@@ -67,6 +67,8 @@ class CStreamingSpeechRecognitionDlg : public CDialogEx {
 
 
   bool Exists(const std::string &filename);
   bool Exists(const std::string &filename);
   void InitRecognizer();
   void InitRecognizer();
+  void InitParaformer();
+  void ShowInitRecognizerHelpMessage();
 };
 };
 
 
 class RecognizerThread : public CWinThread {
 class RecognizerThread : public CWinThread {

@@ -45,9 +45,30 @@ import "unsafe"
 // https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/index.html
 // https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/index.html
 // to download pre-trained models
 // to download pre-trained models
 type OnlineTransducerModelConfig struct {
 type OnlineTransducerModelConfig struct {
-	Encoder    string // Path to the encoder model, e.g., encoder.onnx or encoder.int8.onnx
-	Decoder    string // Path to the decoder model.
-	Joiner     string // Path to the joiner model.
+	Encoder string // Path to the encoder model, e.g., encoder.onnx or encoder.int8.onnx
+	Decoder string // Path to the decoder model.
+	Joiner  string // Path to the joiner model.
+}
+
+// Configuration for online/streaming paraformer models
+//
+// Please refer to
+// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/index.html
+// to download pre-trained models
+type OnlineParaformerModelConfig struct {
+	Encoder string // Path to the encoder model, e.g., encoder.onnx or encoder.int8.onnx
+	Decoder string // Path to the decoder model.
+}
+
+// Configuration for online/streaming models
+//
+// Please refer to
+// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/index.html
+// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/index.html
+// to download pre-trained models
+type OnlineModelConfig struct {
+	Transducer OnlineTransducerModelConfig
+	Paraformer OnlineParaformerModelConfig
 	Tokens     string // Path to tokens.txt
 	Tokens     string // Path to tokens.txt
 	NumThreads int    // Number of threads to use for neural network computation
 	NumThreads int    // Number of threads to use for neural network computation
 	Provider   string // Optional. Valid values are: cpu, cuda, coreml
 	Provider   string // Optional. Valid values are: cpu, cuda, coreml
@@ -68,7 +89,7 @@ type FeatureConfig struct {
 // Configuration for the online/streaming recognizer.
 // Configuration for the online/streaming recognizer.
 type OnlineRecognizerConfig struct {
 type OnlineRecognizerConfig struct {
 	FeatConfig  FeatureConfig
 	FeatConfig  FeatureConfig
-	ModelConfig OnlineTransducerModelConfig
+	ModelConfig OnlineModelConfig
 
 
 	// Valid decoding methods: greedy_search, modified_beam_search
 	// Valid decoding methods: greedy_search, modified_beam_search
 	DecodingMethod string
 	DecodingMethod string
@@ -116,14 +137,20 @@ func NewOnlineRecognizer(config *OnlineRecognizerConfig) *OnlineRecognizer {
 	c.feat_config.sample_rate = C.int(config.FeatConfig.SampleRate)
 	c.feat_config.sample_rate = C.int(config.FeatConfig.SampleRate)
 	c.feat_config.feature_dim = C.int(config.FeatConfig.FeatureDim)
 	c.feat_config.feature_dim = C.int(config.FeatConfig.FeatureDim)
 
 
-	c.model_config.encoder = C.CString(config.ModelConfig.Encoder)
-	defer C.free(unsafe.Pointer(c.model_config.encoder))
+	c.model_config.transducer.encoder = C.CString(config.ModelConfig.Transducer.Encoder)
+	defer C.free(unsafe.Pointer(c.model_config.transducer.encoder))
+
+	c.model_config.transducer.decoder = C.CString(config.ModelConfig.Transducer.Decoder)
+	defer C.free(unsafe.Pointer(c.model_config.transducer.decoder))
+
+	c.model_config.transducer.joiner = C.CString(config.ModelConfig.Transducer.Joiner)
+	defer C.free(unsafe.Pointer(c.model_config.transducer.joiner))
 
 
-	c.model_config.decoder = C.CString(config.ModelConfig.Decoder)
-	defer C.free(unsafe.Pointer(c.model_config.decoder))
+	c.model_config.paraformer.encoder = C.CString(config.ModelConfig.Paraformer.Encoder)
+	defer C.free(unsafe.Pointer(c.model_config.paraformer.encoder))
 
 
-	c.model_config.joiner = C.CString(config.ModelConfig.Joiner)
-	defer C.free(unsafe.Pointer(c.model_config.joiner))
+	c.model_config.paraformer.decoder = C.CString(config.ModelConfig.Paraformer.Decoder)
+	defer C.free(unsafe.Pointer(c.model_config.paraformer.decoder))
 
 
 	c.model_config.tokens = C.CString(config.ModelConfig.Tokens)
 	c.model_config.tokens = C.CString(config.ModelConfig.Tokens)
 	defer C.free(unsafe.Pointer(c.model_config.tokens))
 	defer C.free(unsafe.Pointer(c.model_config.tokens))

@@ -265,6 +265,12 @@ SherpaOnnxOfflineRecognizer *CreateOfflineRecognizer(
   recognizer_config.model_config.nemo_ctc.model =
   recognizer_config.model_config.nemo_ctc.model =
       SHERPA_ONNX_OR(config->model_config.nemo_ctc.model, "");
       SHERPA_ONNX_OR(config->model_config.nemo_ctc.model, "");
 
 
+  recognizer_config.model_config.whisper.encoder =
+      SHERPA_ONNX_OR(config->model_config.whisper.encoder, "");
+
+  recognizer_config.model_config.whisper.decoder =
+      SHERPA_ONNX_OR(config->model_config.whisper.decoder, "");
+
   recognizer_config.model_config.tokens =
   recognizer_config.model_config.tokens =
       SHERPA_ONNX_OR(config->model_config.tokens, "");
       SHERPA_ONNX_OR(config->model_config.tokens, "");
   recognizer_config.model_config.num_threads =
   recognizer_config.model_config.num_threads =

@@ -300,6 +300,11 @@ SHERPA_ONNX_API typedef struct SherpaOnnxOfflineNemoEncDecCtcModelConfig {
   const char *model;
   const char *model;
 } SherpaOnnxOfflineNemoEncDecCtcModelConfig;
 } SherpaOnnxOfflineNemoEncDecCtcModelConfig;
 
 
+SHERPA_ONNX_API typedef struct SherpaOnnxOfflineWhisperModelConfig {
+  const char *encoder;
+  const char *decoder;
+} SherpaOnnxOfflineWhisperModelConfig;
+
 SHERPA_ONNX_API typedef struct SherpaOnnxOfflineLMConfig {
 SHERPA_ONNX_API typedef struct SherpaOnnxOfflineLMConfig {
   const char *model;
   const char *model;
   float scale;
   float scale;
@@ -309,6 +314,7 @@ SHERPA_ONNX_API typedef struct SherpaOnnxOfflineModelConfig {
   SherpaOnnxOfflineTransducerModelConfig transducer;
   SherpaOnnxOfflineTransducerModelConfig transducer;
   SherpaOnnxOfflineParaformerModelConfig paraformer;
   SherpaOnnxOfflineParaformerModelConfig paraformer;
   SherpaOnnxOfflineNemoEncDecCtcModelConfig nemo_ctc;
   SherpaOnnxOfflineNemoEncDecCtcModelConfig nemo_ctc;
+  SherpaOnnxOfflineWhisperModelConfig whisper;
 
 
   const char *tokens;
   const char *tokens;
   int32_t num_threads;
   int32_t num_threads;