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enginex_bi_series-sherpa-onnx/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();
}
}