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Speech Dereverberation datasets

archive 2025-07-28

6 datasets carry the task tag "Speech Dereverberation" (the task itself: Speech Dereverberation), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Speech Dereverberation datasets 1–6 of 6

WHAM! (WSJ0 Hipster Ambient Mixtures)
The WSJ0 Hipster Ambient Mixtures (WHAM!) dataset pairs each two-speaker mixture in the wsj0-2mix dataset with a unique noise background scene.
114 papers · 2 benchmarks
WHAMR! (WHAM! with synthetic reverberated sources)
WHAMR!
57 papers · 3 benchmarks
DNS Challenge (Deep Noise Suppression Challenge)
The DNS Challenge at INTERSPEECH 2020 intended to promote collaborative research in single-channel Speech Enhancement aimed to maximize the perceptual quality and intelligibility of the enhanced speech.
48 papers · 3 benchmarks
The EARS-Reverb dataset uses real recorded room impulse responses (RIRs) from multiple public datasets (ACE-Challenge, AIR, ARNI, BRUDEX, dEchorate, DetmoldSRIR, and Palimpsest).
2 papers · 1 benchmark
Noiseless reverberant dataset using the public WSJ0 corpus and simulated room impulse responses using the PyRoomAcoustics library.
2 papers · 0 benchmarks
WHAMRext is an extension to the WHAMR corpus with larger RT60 values (between 1s and 3s)
1 paper · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.