Introduction

Huggingface space

You can visit https://huggingface.co/spaces/k2-fsa/wasm-speech-enhancement-gtcrn to try it in your browser without building or installing anything.

You can also visit https://modelscope.cn/studios/csukuangfj/wasm-speech-enhancement-gtcrn

Usage

Please refer to https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models to download a model.

The following is an example:

cd sherpa-onnx/wasm/speech-enhancement/assets
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/gtcrn_simple.onnx

mv gtcrn_simple.onnx gtcrn.onnx

You should have the following files in assets before you can run build-wasm-simd-speech-enhancement.sh

(py38) fangjuns-MacBook-Pro:assets fangjun$ tree .
.
├── README.md
└── gtcrn.onnx

0 directories, 2 files
(py38) fangjuns-MacBook-Pro:assets fangjun$ ls -lh
total 1056
-rw-r--r--  1 fangjun  staff   466B Mar 12 16:13 README.md
-rw-r--r--  1 fangjun  staff   523K Mar 12 16:14 gtcrn.onnx