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Audio Source Separation datasets
archive 2025-07-28
15 datasets carry the task tag "Audio Source Separation" (the task itself: Audio Source Separation), ordered by the archive's paper count. Page 1 of 1: 15 shown of 15. 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
Audio Source Separation datasets 1–15 of 15
Audioset is an audio event dataset, which consists of over 2M human-annotated 10-second video clips.
744 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
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
The MUSDB18 is a dataset of 150 full lengths music tracks (~10h duration) of different genres along with their isolated drums, bass, vocals and others stems.
106 papers · 2 benchmarks
WHAMR! (WHAM! with synthetic reverberated sources)
WHAMR!
57 papers · 3 benchmarks
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
AVSpeech is a large-scale audio-visual dataset comprising speech clips with no interfering background signals.
42 papers · 0 benchmarks
FUSS (Free Universal Sound Separation)
The Free Universal Sound Separation (FUSS) dataset is a database of arbitrary sound mixtures and source-level references, for use in experiments on arbitrary sound separation.
16 papers · 0 benchmarks
SMS-WSJ (Spatialized Multi-Speaker Wall Street Journal)
Spatialized Multi-Speaker Wall Street Journal (SMS-WSJ) consists of artificially mixed speech taken from the WSJ database, but unlike earlier databases this one considers all WSJ0+1 utterances and takes care of strictly separating the…
14 papers · 0 benchmarks
OpenMIC-2018 is an instrument recognition dataset containing 20,000 examples of Creative Commons-licensed music available on the Free Music Archive.
8 papers · 1 benchmark
MedleyVox is an evaluation dataset for multiple singing voices separation that corresponds to such categories.
2 papers · 0 benchmarks
Kinect-WSJ is a multichannel, multispeaker, reverberated, noisy dataset which extends the WSJ0-2mix singlechannel, non-reverberated, noiseless dataset to the strong reverberation and noise conditions and the Kinect-like microphone array…
1 paper · 0 benchmarks
jaCappella is a corpus of Japanese a cappella vocal ensembles (jaCappella corpus) for vocal ensemble separation and synthesis.
1 paper · 0 benchmarks
This publicly available data is synthesised audio for woodwind quartets including renderings of each instrument in isolation.
0 papers · 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.