mirror of
https://github.com/k2-fsa/sherpa-onnx.git
synced 2026-11-10 21:11:03 +08:00
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.
38 lines
1.4 KiB
Java
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();
|
|
}
|
|
}
|