63 lines
2.2 KiB
Java
63 lines
2.2 KiB
Java
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// Copyright 2024 Xiaomi Corporation
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// This file shows how to use an offline transducer, i.e., non-streaming transducer,
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// to decode files with hotwords support.
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//
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// See also
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// https://k2-fsa.github.io/sherpa/onnx/hotwords/index.html#modeling-unit-is-cjkchar
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import com.k2fsa.sherpa.onnx.*;
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public class NonStreamingDecodeFileTransducerHotwords {
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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/hotwords/index.html#modeling-unit-is-cjkchar
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// to download model files
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String encoder =
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"./sherpa-onnx-conformer-zh-stateless2-2023-05-23/encoder-epoch-99-avg-1.int8.onnx";
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String decoder = "./sherpa-onnx-conformer-zh-stateless2-2023-05-23/decoder-epoch-99-avg-1.onnx";
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String joiner = "./sherpa-onnx-conformer-zh-stateless2-2023-05-23/joiner-epoch-99-avg-1.onnx";
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String tokens = "./sherpa-onnx-conformer-zh-stateless2-2023-05-23/tokens.txt";
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String waveFilename = "./sherpa-onnx-conformer-zh-stateless2-2023-05-23/test_wavs/6.wav";
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WaveReader reader = new WaveReader(waveFilename);
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OfflineTransducerModelConfig transducer =
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OfflineTransducerModelConfig.builder()
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.setEncoder(encoder)
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.setDecoder(decoder)
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.setJoiner(joiner)
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.build();
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OfflineModelConfig modelConfig =
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OfflineModelConfig.builder()
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.setTransducer(transducer)
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.setTokens(tokens)
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.setNumThreads(1)
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.setDebug(true)
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.setModelingUnit("cjkchar")
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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("modified_beam_search")
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.setHotwordsFile("./hotwords_cn.txt")
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.setHotwordsScore(2.0f)
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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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