Inverse text normalization API for other programming languages (#1019)

kotlin-api-examples/run.sh

@@ -203,6 +203,34 @@ function testOfflineAsr() {
   java -Djava.library.path=../build/lib -jar $out_filename
 }
 
+function testInverseTextNormalizationAsr() {
+  if [ ! -f ./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt ]; then
+    curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+    tar xvf sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+    rm sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+  fi
+
+  if [ ! -f ./itn-zh-number.wav ]; then
+    curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn-zh-number.wav
+  fi
+
+  if [ ! -f ./itn_zh_number.fst ]; then
+    curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
+  fi
+
+  out_filename=test_offline_asr.jar
+  kotlinc-jvm -include-runtime -d $out_filename \
+    test_itn_asr.kt \
+    FeatureConfig.kt \
+    OfflineRecognizer.kt \
+    OfflineStream.kt \
+    WaveReader.kt \
+    faked-asset-manager.kt
+
+  ls -lh $out_filename
+  java -Djava.library.path=../build/lib -jar $out_filename
+}
+
 function testPunctuation() {
   if [ ! -f ./sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12/model.onnx ]; then
     curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/punctuation-models/sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
@@ -229,3 +257,4 @@ testAudioTagging
 testSpokenLanguageIdentification
 testOfflineAsr
 testPunctuation
+testInverseTextNormalizationAsr

kotlin-api-examples/test_itn_asr.kt

@@ -0,0 +1,37 @@
+package com.k2fsa.sherpa.onnx
+
+fun main() {
+  test()
+}
+
+fun test() {
+  val recognizer = createOfflineRecognizer()
+  val waveFilename = "./itn-zh-number.wav";
+
+  val objArray = WaveReader.readWaveFromFile(
+      filename = waveFilename,
+  )
+  val samples: FloatArray = objArray[0] as FloatArray
+  val sampleRate: Int = objArray[1] as Int
+
+  val stream = recognizer.createStream()
+  stream.acceptWaveform(samples, sampleRate=sampleRate)
+  recognizer.decode(stream)
+
+  val result = recognizer.getResult(stream)
+  println(result)
+
+  stream.release()
+  recognizer.release()
+}
+
+fun createOfflineRecognizer(): OfflineRecognizer {
+  val config = OfflineRecognizerConfig(
+      featConfig = getFeatureConfig(sampleRate = 16000, featureDim = 80),
+      modelConfig = getOfflineModelConfig(0)!!,
+      ruleFsts = "./itn_zh_number.fst",
+  )
+
+  return OfflineRecognizer(config = config)
+}
+