// 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(); } }