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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.
41 lines
1.1 KiB
JavaScript
41 lines
1.1 KiB
JavaScript
// Copyright (c) 2026 Xiaomi Corporation (authors: Fangjun Kuang)
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const sherpa_onnx = require('sherpa-onnx-node');
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function createOnlineSpeechDenoiser() {
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const config = {
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model: {
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dpdfnet: {model: './dpdfnet_baseline.onnx'},
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debug: true,
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numThreads: 1,
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},
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};
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return new sherpa_onnx.OnlineSpeechDenoiser(config);
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}
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const sd = createOnlineSpeechDenoiser();
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const wave = sherpa_onnx.readWave('./inp_16k.wav');
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const output = [];
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const frameShift = sd.frameShiftInSamples;
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for (let start = 0; start < wave.samples.length; start += frameShift) {
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const end = Math.min(start + frameShift, wave.samples.length);
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const chunk = wave.samples.slice(start, end);
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const denoised = sd.run({
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samples: chunk,
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sampleRate: wave.sampleRate,
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enableExternalBuffer: true
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});
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output.push(...denoised.samples);
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}
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const tail = sd.flush(true);
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output.push(...tail.samples);
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sherpa_onnx.writeWave(
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'./enhanced-online-dpdfnet.wav',
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{samples: Float32Array.from(output), sampleRate: sd.sampleRate});
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console.log('Saved to ./enhanced-online-dpdfnet.wav');
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