Add Go API for Dolphin CTC models (#2090)

@@ -179,6 +179,10 @@ jobs:
           go build
           ls -lh
 
+          echo "Test Dolphin CTC"
+          ./run-dolphin-ctc-base.sh
+          rm -rf sherpa-onnx-dolphin-*
+
           echo "Test FireRedAsr"
           ./run-fire-red-asr.sh
           rm -rf sherpa-onnx-fire-red-asr-*

@@ -86,7 +86,7 @@ int32_t main() {
   vadConfig.num_threads = 1;
   vadConfig.debug = 1;
 
-  SherpaOnnxVoiceActivityDetector *vad =
+  const SherpaOnnxVoiceActivityDetector *vad =
       SherpaOnnxCreateVoiceActivityDetector(&vadConfig, 30);
 
   if (vad == NULL) {

@@ -87,7 +87,7 @@ int32_t main() {
   vadConfig.num_threads = 1;
   vadConfig.debug = 1;
 
-  SherpaOnnxVoiceActivityDetector *vad =
+  const SherpaOnnxVoiceActivityDetector *vad =
       SherpaOnnxCreateVoiceActivityDetector(&vadConfig, 30);
 
   if (vad == NULL) {

@@ -84,7 +84,7 @@ int32_t main() {
   vadConfig.num_threads = 1;
   vadConfig.debug = 1;
 
-  SherpaOnnxVoiceActivityDetector *vad =
+  const SherpaOnnxVoiceActivityDetector *vad =
       SherpaOnnxCreateVoiceActivityDetector(&vadConfig, 30);
 
   if (vad == NULL) {

@@ -28,6 +28,8 @@ func main() {
 
 	flag.StringVar(&config.ModelConfig.NemoCTC.Model, "nemo-ctc", "", "Path to the NeMo CTC model")
 
+	flag.StringVar(&config.ModelConfig.Dolphin.Model, "dolphin-model", "", "Path to the Dolphin CTC model")
+
 	flag.StringVar(&config.ModelConfig.FireRedAsr.Encoder, "fire-red-asr-encoder", "", "Path to the FireRedAsr encoder model")
 	flag.StringVar(&config.ModelConfig.FireRedAsr.Decoder, "fire-red-asr-decoder", "", "Path to the FireRedAsr decoder model")
 

+#!/usr/bin/env bash
+
+set -ex
+
+if [ ! -f ./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/model.int8.onnx ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
+  tar xvf sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
+  rm sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
+  ls -lh sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02
+fi
+
+go mod tidy
+go build
+
+./non-streaming-decode-files \
+  --dolphin-model ./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/model.int8.onnx \
+  --tokens ./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/tokens.txt \
+  --debug 0 \
+  ./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/test_wavs/0.wav

+../../../../go-api-examples/non-streaming-decode-files/run-dolphin-ctc-base.sh
\ No newline at end of file

@@ -377,6 +377,10 @@ type OfflineNemoEncDecCtcModelConfig struct {
 	Model string // Path to the model, e.g., model.onnx or model.int8.onnx
 }
 
+type OfflineDolphinModelConfig struct {
+	Model string // Path to the model, e.g., model.onnx or model.int8.onnx
+}
+
 type OfflineWhisperModelConfig struct {
 	Encoder      string
 	Decoder      string
@@ -422,6 +426,7 @@ type OfflineModelConfig struct {
 	SenseVoice OfflineSenseVoiceModelConfig
 	Moonshine  OfflineMoonshineModelConfig
 	FireRedAsr OfflineFireRedAsrModelConfig
+	Dolphin    OfflineDolphinModelConfig
 	Tokens     string // Path to tokens.txt
 
 	// Number of threads to use for neural network computation
@@ -512,6 +517,8 @@ func newCOfflineRecognizerConfig(config *OfflineRecognizerConfig) *C.struct_Sher
 	c.model_config.fire_red_asr.encoder = C.CString(config.ModelConfig.FireRedAsr.Encoder)
 	c.model_config.fire_red_asr.decoder = C.CString(config.ModelConfig.FireRedAsr.Decoder)
 
+	c.model_config.dolphin.model = C.CString(config.ModelConfig.Dolphin.Model)
+
 	c.model_config.tokens = C.CString(config.ModelConfig.Tokens)
 
 	c.model_config.num_threads = C.int(config.ModelConfig.NumThreads)