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Speaker Recognition datasets

archive 2025-07-28

6 datasets carry the task tag "Speaker Recognition" (the task itself: Speaker Recognition), 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

Speaker Recognition datasets 1–6 of 6

VoxCeleb1 is an audio dataset containing over 100,000 utterances for 1,251 celebrities, extracted from videos uploaded to YouTube.
680 papers · 10 benchmarks
CN-Celeb is a large-scale speaker recognition dataset collected in the wild'.
68 papers · 1 benchmark
FKD (Football Keywords Dataset)
The football keyword dataset (FKD), as a new keyword spotting dataset in Persian, is collected with crowdsourcing.
2 papers · 1 benchmark
MAVS (Multilingual Audio-Visual Smartphone dataset)
MAVS is an audio-visual smartphone dataset captured in five different recent smartphones.
2 papers · 0 benchmarks
A Rich Annotated Mandarin Conversational (RAMC) Speech Dataset, including 180 hours of Mandarin Chinese dialogue, 150, 10 and 20 hours for the training set, development set and test set respectively.
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.