Support decoding multiple streams in Java API. (#2149)

java-api-examples/NonStreamingDecodeFileWhisperMultiple.java

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+// Copyright 2025 Xiaomi Corporation
+
+// This file shows how to use an offline whisper, i.e., non-streaming whisper,
+// to decode files.
+import com.k2fsa.sherpa.onnx.*;
+
+public class NonStreamingDecodeFileWhisperMultiple {
+  public static void main(String[] args) {
+    // please refer to
+    // https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/tiny.en.html
+    // to download model files
+    String encoder = "./sherpa-onnx-whisper-tiny.en/tiny.en-encoder.int8.onnx";
+    String decoder = "./sherpa-onnx-whisper-tiny.en/tiny.en-decoder.int8.onnx";
+    String tokens = "./sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt";
+
+    String waveFilename0 = "./sherpa-onnx-whisper-tiny.en/test_wavs/0.wav";
+    String waveFilename1 = "./sherpa-onnx-whisper-tiny.en/test_wavs/1.wav";
+
+    WaveReader reader0 = new WaveReader(waveFilename0);
+    WaveReader reader1 = new WaveReader(waveFilename1);
+
+    OfflineWhisperModelConfig whisper =
+        OfflineWhisperModelConfig.builder().setEncoder(encoder).setDecoder(decoder).build();
+
+    OfflineModelConfig modelConfig =
+        OfflineModelConfig.builder()
+            .setWhisper(whisper)
+            .setTokens(tokens)
+            .setNumThreads(1)
+            .setDebug(true)
+            .build();
+
+    OfflineRecognizerConfig config =
+        OfflineRecognizerConfig.builder()
+            .setOfflineModelConfig(modelConfig)
+            .setDecodingMethod("greedy_search")
+            .build();
+
+    OfflineRecognizer recognizer = new OfflineRecognizer(config);
+    OfflineStream stream0 = recognizer.createStream();
+    stream0.acceptWaveform(reader0.getSamples(), reader0.getSampleRate());
+
+    OfflineStream stream1 = recognizer.createStream();
+    stream1.acceptWaveform(reader1.getSamples(), reader1.getSampleRate());
+
+    OfflineStream[] ss = new OfflineStream[] {stream0, stream1};
+    recognizer.decode(ss);
+
+    String text0 = recognizer.getResult(stream0).getText();
+    String text1 = recognizer.getResult(stream1).getText();
+
+    System.out.printf("filename0:%s\nresult0:%s\n\n", waveFilename0, text0);
+    System.out.printf("filename1:%s\nresult1:%s\n\n", waveFilename1, text1);
+
+    stream0.release();
+    stream1.release();
+    recognizer.release();
+  }
+}

java-api-examples/run-non-streaming-decode-file-whisper-multiple.sh

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+#!/usr/bin/env bash
+
+set -ex
+
+if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib  && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
+  mkdir -p ../build
+  pushd ../build
+  cmake \
+    -DSHERPA_ONNX_ENABLE_PYTHON=OFF \
+    -DSHERPA_ONNX_ENABLE_TESTS=OFF \
+    -DSHERPA_ONNX_ENABLE_CHECK=OFF \
+    -DBUILD_SHARED_LIBS=ON \
+    -DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
+    -DSHERPA_ONNX_ENABLE_JNI=ON \
+    ..
+
+  make -j4
+  ls -lh lib
+  popd
+fi
+
+if [ ! -f ../sherpa-onnx/java-api/build/sherpa-onnx.jar ]; then
+  pushd ../sherpa-onnx/java-api
+  make
+  popd
+fi
+
+if [ ! -f ./sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.en.tar.bz2
+
+  tar xvf sherpa-onnx-whisper-tiny.en.tar.bz2
+  rm sherpa-onnx-whisper-tiny.en.tar.bz2
+fi
+
+java \
+  -Djava.library.path=$PWD/../build/lib \
+  -cp ../sherpa-onnx/java-api/build/sherpa-onnx.jar \
+  NonStreamingDecodeFileWhisperMultiple.java