39 lines
1.4 KiB
Java
39 lines
1.4 KiB
Java
// Copyright 2025 Xiaomi Corporation
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// This file shows how to use speech enhancement models in sherpa-onnx
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//
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// please download files in this script from
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// https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models
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import com.k2fsa.sherpa.onnx.*;
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public class NonStreamingSpeechEnhancementGtcrn {
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public static void main(String[] args) {
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String model = "./gtcrn_simple.onnx";
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OfflineSpeechDenoiserGtcrnModelConfig gtcrn =
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OfflineSpeechDenoiserGtcrnModelConfig.builder().setModel(model).build();
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OfflineSpeechDenoiserModelConfig modelConfig =
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OfflineSpeechDenoiserModelConfig.builder()
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.setGtcrn(gtcrn)
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.setNumThreads(1)
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.setDebug(true)
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.setProvider("cpu")
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.build();
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OfflineSpeechDenoiserConfig config =
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OfflineSpeechDenoiserConfig.builder().setModel(modelConfig).build();
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OfflineSpeechDenoiser speech_denoiser = new OfflineSpeechDenoiser(config);
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String testWaveFilename = "./inp_16k.wav";
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WaveReader reader = new WaveReader(testWaveFilename);
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DenoisedAudio denoised = speech_denoiser.run(reader.getSamples(), reader.getSampleRate());
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String outFilename = "enhanced-16k.wav";
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WaveWriter.write(outFilename, denoised.getSamples(), denoised.getSampleRate());
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System.out.printf("Saved to %s\n", outFilename);
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speech_denoiser.release();
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}
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}
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