Add JavaScript API (wasm) for speech enhancement GTCRN models (#2007)

nodejs-examples/README.md

@@ -24,6 +24,16 @@ In the following, we describe how to use [sherpa-onnx](https://github.com/k2-fsa
 for text-to-speech and speech-to-text.
 
 
+# Speech enhancement
+
+In the following, we demonstrate how to run speech enhancement.
+
+```bash
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/gtcrn_simple.onnx
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/inp_16k.wav
+node ./test-offline-speech-enhancement-gtcrn.js
+```
+
 # Speaker diarization
 
 In the following, we demonstrate how to run speaker diarization.

nodejs-examples/test-offline-speech-enhancement-gtcrn.js

@@ -0,0 +1,30 @@
+// Copyright (c)  2025  Xiaomi Corporation (authors: Fangjun Kuang)
+//
+// Please download ./gtcrn_simple.onnx and ./inp_16k.wav used in this file
+// from
+// https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models
+//
+// This script shows how to use speech enhancement API from sherpa-onnx.
+const sherpa_onnx = require('sherpa-onnx');
+
+function createOfflineSpeechDenoiser() {
+  let config = {
+    model: {
+      gtcrn: {model: './gtcrn_simple.onnx'},
+      debug: 1,
+    },
+  };
+
+  return sherpa_onnx.createOfflineSpeechDenoiser(config);
+}
+
+speech_denoiser = createOfflineSpeechDenoiser();
+
+const waveFilename = './inp_16k.wav';
+const wave = sherpa_onnx.readWave(waveFilename);
+
+const denoised = speech_denoiser.run(wave.samples, wave.sampleRate);
+sherpa_onnx.writeWave('./enhanced-16k.wav', denoised);
+console.log('Saved to ./enhanced-16k.wav');
+
+speech_denoiser.free();