Files
sherpa-onnx/java-api-examples/NonStreamingSpeechEnhancementGtcrn.java
T
Fangjun Kuang 45fb4f5f0b Add online speech denoiser for GTCRN and examples (#3324)
This PR adds online (streaming) speech denoising support for GTCRN alongside existing DPDFNet support, and updates multi-language bindings/examples to expose and validate the new capability.
2026-03-17 11:56:56 +08:00

38 lines
1.4 KiB
Java

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