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#!/usr/bin/env bash |
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export SHERPA_ONNX_IS_REVAI=1 |
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set -ex |
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function install_pyannote() { |
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pip install pyannote.audio onnx onnxruntime |
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} |
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function download_test_files() { |
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curl -SL -O https://huggingface.co/Revai/reverb-diarization-v1/resolve/main/pytorch_model.bin |
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curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/lei-jun-test.wav |
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} |
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install_pyannote |
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download_test_files |
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./export-onnx.py |
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./preprocess.sh |
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echo "----------torch----------" |
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./vad-torch.py |
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echo "----------onnx model.onnx----------" |
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./vad-onnx.py --model ./model.onnx --wav ./lei-jun-test.wav |
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echo "----------onnx model.int8.onnx----------" |
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./vad-onnx.py --model ./model.int8.onnx --wav ./lei-jun-test.wav |
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curl -SL -O https://huggingface.co/Revai/reverb-diarization-v1/resolve/main/LICENSE |
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cat >README.md << EOF |
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# Introduction |
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Models in this file are converted from |
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https://huggingface.co/Revai/reverb-diarization-v1/tree/main |
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Note that it is accessible under a non-commercial license. |
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Please see ./LICENSE for details. |
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See also |
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https://www.rev.com/blog/speech-to-text-technology/introducing-reverb-open-source-asr-diarization |
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EOF |
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