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scripts/pyannote/segmentation/run-revai.sh
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48
scripts/pyannote/segmentation/run-revai.sh
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#!/usr/bin/env bash
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# Copyright 2024 Xiaomi Corp. (authors: Fangjun Kuang)
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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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