Add CTC HLG decoding for JNI (#810)

sherpa-onnx/kotlin-api/OfflineRecognizer.kt

@@ -18,6 +18,10 @@ data class OfflineParaformerModelConfig(
     var model: String = "",
 )
 
+data class OfflineNemoEncDecCtcModelConfig(
+    var model: String = "",
+)
+
 data class OfflineWhisperModelConfig(
     var encoder: String = "",
     var decoder: String = "",
@@ -30,6 +34,7 @@ data class OfflineModelConfig(
     var transducer: OfflineTransducerModelConfig = OfflineTransducerModelConfig(),
     var paraformer: OfflineParaformerModelConfig = OfflineParaformerModelConfig(),
     var whisper: OfflineWhisperModelConfig = OfflineWhisperModelConfig(),
+    var nemo: OfflineNemoEncDecCtcModelConfig = OfflineNemoEncDecCtcModelConfig(),
     var numThreads: Int = 1,
     var debug: Boolean = false,
     var provider: String = "cpu",
@@ -216,6 +221,16 @@ fun getOfflineModelConfig(type: Int): OfflineModelConfig? {
             )
         }
 
+        6 -> {
+            val modelDir = "sherpa-onnx-nemo-ctc-en-citrinet-512"
+            return OfflineModelConfig(
+                nemo = OfflineNemoEncDecCtcModelConfig(
+                    model = "$modelDir/model.int8.onnx",
+                ),
+                tokens = "$modelDir/tokens.txt",
+            )
+        }
+
     }
     return null
 }

sherpa-onnx/kotlin-api/OnlineRecognizer.kt

@@ -45,11 +45,17 @@ data class OnlineLMConfig(
     var scale: Float = 0.5f,
 )
 
+data class OnlineCtcFstDecoderConfig(
+    var graph: String = "",
+    var maxActive: Int = 3000,
+)
+
 
 data class OnlineRecognizerConfig(
     var featConfig: FeatureConfig = FeatureConfig(),
     var modelConfig: OnlineModelConfig,
     var lmConfig: OnlineLMConfig = OnlineLMConfig(),
+    var ctcFstDecoderConfig : OnlineCtcFstDecoderConfig = OnlineCtcFstDecoderConfig(),
     var endpointConfig: EndpointConfig = EndpointConfig(),
     var enableEndpoint: Boolean = true,
     var decodingMethod: String = "greedy_search",