Add CTC HLG decoding for JNI (#810)

kotlin-api-examples/test_offline_asr.kt

@@ -1,12 +1,25 @@
 package com.k2fsa.sherpa.onnx
 
 fun main() {
-  val recognizer = createOfflineRecognizer()
+  val types = arrayOf(0, 2, 5, 6)
+  for (type in types) {
+    test(type)
+  }
+}
 
-  val waveFilename = "./sherpa-onnx-streaming-zipformer-en-20M-2023-02-17/test_wavs/0.wav"
+fun test(type: Int) {
+  val recognizer = createOfflineRecognizer(type)
+
+  val waveFilename = when (type) {
+    0 -> "./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/0.wav"
+    2 -> "./sherpa-onnx-whisper-tiny.en/test_wavs/0.wav"
+    5 -> "./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/test_wavs/1.wav"
+    6 -> "./sherpa-onnx-nemo-ctc-en-citrinet-512/test_wavs/8k.wav"
+    else -> null
+  }
 
   val objArray = WaveReader.readWaveFromFile(
-      filename = waveFilename,
+      filename = waveFilename!!,
   )
   val samples: FloatArray = objArray[0] as FloatArray
   val sampleRate: Int = objArray[1] as Int
@@ -22,10 +35,10 @@ fun main() {
   recognizer.release()
 }
 
-fun createOfflineRecognizer(): OfflineRecognizer {
+fun createOfflineRecognizer(type: Int): OfflineRecognizer {
   val config = OfflineRecognizerConfig(
       featConfig = getFeatureConfig(sampleRate = 16000, featureDim = 80),
-      modelConfig = getOfflineModelConfig(type = 2)!!,
+      modelConfig = getOfflineModelConfig(type = type)!!,
   )
 
   return OfflineRecognizer(config = config)