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Speech Separation datasets
archive 2025-07-28
16 datasets carry the task tag "Speech Separation" (the task itself: Speech Separation), ordered by the archive's paper count. Page 1 of 1: 16 shown of 16. 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 Separation datasets 1–16 of 16
VoxCeleb2 is a large scale speaker recognition dataset obtained automatically from open-source media.
564 papers · 5 benchmarks
WSJ0-2mix is a speech recognition corpus of speech mixtures using utterances from the Wall Street Journal (WSJ0) corpus.
159 papers · 3 benchmarks
LibriMix is an open-source alternative to wsj0-2mix.
122 papers · 1 benchmark
LRS2 (Lip Reading Sentences 2)
The Oxford-BBC Lip Reading Sentences 2 (LRS2) dataset is one of the largest publicly available datasets for lip reading sentences in-the-wild.
115 papers · 10 benchmarks
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
Continuous speech separation (CSS) is an approach to handling overlapped speech in conversational audio signals.
73 papers · 2 benchmarks
WHAMR! (WHAM! with synthetic reverberated sources)
WHAMR!
57 papers · 3 benchmarks
TIMIT (TIMIT Acoustic-Phonetic Continuous Speech Corpus)
The TIMIT Acoustic-Phonetic Continuous Speech Corpus is a standard dataset used for evaluation of automatic speech recognition systems.
31 papers · 6 benchmarks
MIR-1K (Multimedia Information Retrieval lab, 1000 song clips) is a dataset designed for singing voice separation.
21 papers · 0 benchmarks
The iKala dataset is a singing voice separation dataset that comprises of 252 30-second excerpts sampled from 206 iKala songs (plus 100 hidden excerpts reserved for MIREX data mining contest).
20 papers · 1 benchmark
DiPCo (DiPCo -- Dinner Party Corpus)
We present a speech data corpus that simulates a "dinner party" scenario taking place in an everyday home environment.
16 papers · 0 benchmarks
The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs.
10 papers · 5 benchmarks
Real-M is a crowd-sourced speech-separation corpus of real-life mixtures.
4 papers · 0 benchmarks
Here we release the dataset (MultiChannelGrid, abbreviated as MCGrid) used in our paper LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION](https://arxiv.org/abs/2111.04063)).
1 paper · 0 benchmarks
WHAMRext is an extension to the WHAMR corpus with larger RT60 values (between 1s and 3s)
1 paper · 1 benchmark
mDRT (Multilingual Diagnostic Rhyme Test)
We present a multilingual test set for conducting speech intelligibility tests in the form of diagnostic rhyme tests.
1 paper · 0 benchmarks
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.