61 lines
2.0 KiB
Java
61 lines
2.0 KiB
Java
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// Copyright 2024 Xiaomi Corporation
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// This file shows how to use an offline Moonshine,
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// i.e., non-streaming Moonshine model,
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// to decode files.
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import com.k2fsa.sherpa.onnx.*;
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public class NonStreamingDecodeFileMoonshine {
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public static void main(String[] args) {
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// please refer to
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// https://k2-fsa.github.io/sherpa/onnx/moonshine/index.html
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// to download model files
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String preprocessor = "./sherpa-onnx-moonshine-tiny-en-int8/preprocess.onnx";
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String encoder = "./sherpa-onnx-moonshine-tiny-en-int8/encode.int8.onnx";
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String uncachedDecoder = "./sherpa-onnx-moonshine-tiny-en-int8/uncached_decode.int8.onnx";
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String cachedDecoder = "./sherpa-onnx-moonshine-tiny-en-int8/cached_decode.int8.onnx";
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String tokens = "./sherpa-onnx-moonshine-tiny-en-int8/tokens.txt";
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String waveFilename = "./sherpa-onnx-moonshine-tiny-en-int8/test_wavs/0.wav";
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WaveReader reader = new WaveReader(waveFilename);
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OfflineMoonshineModelConfig moonshine =
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OfflineMoonshineModelConfig.builder()
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.setPreprocessor(preprocessor)
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.setEncoder(encoder)
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.setUncachedDecoder(uncachedDecoder)
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.setCachedDecoder(cachedDecoder)
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.build();
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OfflineModelConfig modelConfig =
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OfflineModelConfig.builder()
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.setMoonshine(moonshine)
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.setTokens(tokens)
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.setNumThreads(1)
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.setDebug(true)
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.build();
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OfflineRecognizerConfig config =
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OfflineRecognizerConfig.builder()
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.setOfflineModelConfig(modelConfig)
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.setDecodingMethod("greedy_search")
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.build();
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OfflineRecognizer recognizer = new OfflineRecognizer(config);
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OfflineStream stream = recognizer.createStream();
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stream.acceptWaveform(reader.getSamples(), reader.getSampleRate());
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recognizer.decode(stream);
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String text = recognizer.getResult(stream).getText();
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System.out.printf("filename:%s\nresult:%s\n", waveFilename, text);
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stream.release();
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recognizer.release();
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}
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}
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