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Upload config.yaml
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config.yaml
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# General model information
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language: en
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tags:
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- speech-enhancement
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- dereverberation
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- diffusion-models
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- generative-models
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- pytorch
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- audio-processing
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license: mit
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datasets:
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- VoiceBank-DEMAND
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- WSJ0-CHiME3
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- WSJ0-REVERB
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- EARS-WHAM
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- EARS-Reverb
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model_name: speech-enhancement-dereverberation-diffusion
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model_type: diffusion-based-generative-model
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library_name: pytorch
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pipeline_tag: audio-to-audio
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# Important files for the model
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key_files:
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- model.py
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- train.py
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- inference.py
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- enhancement.py
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- requirements.txt
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- calc_metrics.py
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# Pretrained model checkpoints
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pretrained_checkpoints:
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voicebank_demand:
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description: SGMSE+ trained on VoiceBank-DEMAND
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download_link: https://drive.google.com/drive/folders/1CSnkhUSoiv3RG0xg7WEcVapyLuwDaLbe?usp=sharing
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gdown_id: 1_H3EXvhcYBhOZ9QNUcD5VZHc6ktrRbwQ
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wsj0_chime3:
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description: SGMSE+ trained on WSJ0-CHiME3
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download_link: https://drive.google.com/drive/folders/1CSnkhUSoiv3RG0xg7WEcVapyLuwDaLbe?usp=sharing
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gdown_id: 16K4DUdpmLhDNC7pJhBBc08pkSIn_yMPi
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wsj0_reverb:
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description: SGMSE+ trained on WSJ0-REVERB
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download_link: https://drive.google.com/drive/folders/1082_PSEgrqoVVrNsAkSIcpLF1AAtzGwV?usp=sharing
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gdown_id: 1eiOy0VjHh9V9ZUFTxu1Pq2w19izl9ejD
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ears_wham:
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description: SGMSE+ trained on EARS-WHAM
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download_link: https://drive.google.com/drive/folders/1Tn6pVwjxUAy1DJ8167JCg3enuSi0hiw5?usp=sharing
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gdown_id: 1t_DLLk8iPH6nj8M5wGeOP3jFPaz3i7K5
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ears_reverb:
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description: SGMSE+ trained on EARS-Reverb
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download_link: https://drive.google.com/drive/folders/1PunXuLbuyGkknQCn_y-RCV2dTZBhyE3V?usp=sharing
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gdown_id: 1PunXuLbuyGkknQCn_y-RCV2dTZBhyE3V
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# Citation references for the model
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citations:
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- '@inproceedings{welker22speech, author={Simon Welker and Julius Richter and Timo Gerkmann}, title={Speech Enhancement with Score-Based Generative Models in the Complex {STFT} Domain}, year={2022}, booktitle={Proc. Interspeech 2022}, pages={2928--2932}, doi={10.21437/Interspeech.2022-10653}}'
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- '@article{richter2023speech, title={Speech Enhancement and Dereverberation with Diffusion-based Generative Models}, author={Richter, Julius and Welker, Simon and Lemercier, Jean-Marie and Lay, Bunlong and Gerkmann, Timo}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, volume={31}, pages={2351-2364}, year={2023}, doi={10.1109/TASLP.2023.3285241}}'
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- '@inproceedings{richter2024ears, title={{EARS}: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation}, author={Richter, Julius and Wu, Yi-Chiao and Krenn, Steven and Welker, Simon and Lay, Bunlong and Watanabe, Shinjii and Richard, Alexander and Gerkmann, Timo}, booktitle={ISCA Interspeech}, year={2024}}'
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