Add Java and Kotlin API for Cohere Transcribe (#3461)

This pull request introduces support for the Cohere Transcribe model across the Java and Kotlin APIs. Key changes include the addition of the OfflineCohereTranscribeModelConfig class, updated JNI bindings to handle the new configuration, and new example scripts and source files for both languages.

java-api-examples/NonStreamingDecodeFileCohereTranscribe.java

@@ -0,0 +1,63 @@
+// Copyright 2026 Xiaomi Corporation
+
+// This file shows how to use an offline Cohere Transcribe model
+// to decode files.
+import com.k2fsa.sherpa.onnx.*;
+
+public class NonStreamingDecodeFileCohereTranscribe {
+  public static void main(String[] args) {
+    String modelDir = "./sherpa-onnx-cohere-transcribe-14-lang-int8-2026-04-01";
+    String encoder = modelDir + "/encoder.int8.onnx";
+    String decoder = modelDir + "/decoder.int8.onnx";
+    String tokens = modelDir + "/tokens.txt";
+
+    String waveFilename = modelDir + "/test_wavs/en.wav";
+
+    WaveReader reader = new WaveReader(waveFilename);
+
+    OfflineCohereTranscribeModelConfig cohereTranscribe =
+        OfflineCohereTranscribeModelConfig.builder()
+            .setEncoder(encoder)
+            .setDecoder(decoder)
+            .setUsePunct(true)
+            .setUseItn(true)
+            .build();
+
+    OfflineModelConfig modelConfig =
+        OfflineModelConfig.builder()
+            .setCohereTranscribe(cohereTranscribe)
+            .setTokens(tokens)
+            .setNumThreads(2)
+            .setDebug(true)
+            .build();
+
+    OfflineRecognizerConfig config =
+        OfflineRecognizerConfig.builder()
+            .setOfflineModelConfig(modelConfig)
+            .setDecodingMethod("greedy_search")
+            .build();
+
+    OfflineRecognizer recognizer = new OfflineRecognizer(config);
+    OfflineStream stream = recognizer.createStream();
+    stream.setOption("language", "en");
+    stream.acceptWaveform(reader.getSamples(), reader.getSampleRate());
+
+    long start = System.currentTimeMillis();
+    recognizer.decode(stream);
+    long stop = System.currentTimeMillis();
+
+    String text = recognizer.getResult(stream).getText();
+
+    float timeElapsedSeconds = (stop - start) / 1000.0f;
+    float audioDuration = reader.getSamples().length / (float) reader.getSampleRate();
+    float realTimeFactor = timeElapsedSeconds / audioDuration;
+
+    System.out.printf("filename:%s\nresult:%s\n", waveFilename, text);
+    System.out.printf("-- elapsed : %.3f seconds\n", timeElapsedSeconds);
+    System.out.printf("-- audio duration: %.3f seconds\n", audioDuration);
+    System.out.printf("-- real-time factor (RTF): %.3f\n", realTimeFactor);
+
+    stream.release();
+    recognizer.release();
+  }
+}