41 lines
1.0 KiB
Markdown
41 lines
1.0 KiB
Markdown
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# Introduction
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## Huggingface space
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You can visit https://huggingface.co/spaces/k2-fsa/wasm-speech-enhancement-gtcrn
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to try it in your browser without building or installing anything.
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You can also visit
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https://modelscope.cn/studios/csukuangfj/wasm-speech-enhancement-gtcrn
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## Usage
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Please refer to
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https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models
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to download a model.
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The following is an example:
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```bash
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cd sherpa-onnx/wasm/speech-enhancement/assets
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/gtcrn_simple.onnx
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mv gtcrn_simple.onnx gtcrn.onnx
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```
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You should have the following files in `assets` before you can run
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`build-wasm-simd-speech-enhancement.sh`
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```
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(py38) fangjuns-MacBook-Pro:assets fangjun$ tree .
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.
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├── README.md
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└── gtcrn.onnx
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0 directories, 2 files
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(py38) fangjuns-MacBook-Pro:assets fangjun$ ls -lh
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total 1056
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-rw-r--r-- 1 fangjun staff 466B Mar 12 16:13 README.md
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-rw-r--r-- 1 fangjun staff 523K Mar 12 16:14 gtcrn.onnx
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```
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