Add C++ runtime for Tele-AI/TeleSpeech-ASR (#970)

java-api-examples/NonStreamingDecodeFileTeleSpeechCtc.java

@@ -0,0 +1,47 @@
+// Copyright 2024 Xiaomi Corporation
+
+// This file shows how to use an offline TeleSpeech CTC model
+// to decode files.
+import com.k2fsa.sherpa.onnx.*;
+
+public class NonStreamingDecodeFileTeleSpeechCtc {
+  public static void main(String[] args) {
+    // please refer to
+    // https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/paraformer-models.html#csukuangfj-sherpa-onnx-paraformer-zh-2023-03-28-chinese-english
+    // to download model files
+    String model = "./sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/model.int8.onnx";
+    String tokens = "./sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/tokens.txt";
+
+    String waveFilename = "./sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/test_wavs/3-sichuan.wav";
+
+    WaveReader reader = new WaveReader(waveFilename);
+
+    OfflineModelConfig modelConfig =
+        OfflineModelConfig.builder()
+            .setTeleSpeech(model)
+            .setTokens(tokens)
+            .setNumThreads(1)
+            .setDebug(true)
+            .setModelType("telespeech_ctc")
+            .build();
+
+    OfflineRecognizerConfig config =
+        OfflineRecognizerConfig.builder()
+            .setOfflineModelConfig(modelConfig)
+            .setDecodingMethod("greedy_search")
+            .build();
+
+    OfflineRecognizer recognizer = new OfflineRecognizer(config);
+    OfflineStream stream = recognizer.createStream();
+    stream.acceptWaveform(reader.getSamples(), reader.getSampleRate());
+
+    recognizer.decode(stream);
+
+    String text = recognizer.getResult(stream).getText();
+
+    System.out.printf("filename:%s\nresult:%s\n", waveFilename, text);
+
+    stream.release();
+    recognizer.release();
+  }
+}