Datasets › Reverb-WSJ0

Reverb-WSJ0

Introduced by Julius Richter et al. in Speech Enhancement and Dereverberation with Diffusion-based Generative Models11 Aug 2022 archive 2025-07-28

Noiseless reverberant dataset using the public WSJ0 corpus and simulated room impulse responses using the PyRoomAcoustics library. Used in: - Speech Enhancement and Dereverberation with Diffusion-based Generative Models, Richter et al., arXiv 2022 - StoRM: A Stochastic Regeneration Model for Speech Enhancement and Dereverberation, Lemercier et al., arXiv 2022 - Analysing Discriminative versus Diffusion-based Generative Models for Speech Restoration, Lemercier et al., ICASSP 2023

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Linguistic Data Consortium

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Reverb-WSJ0

1 variant name, as the archive lists them.

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