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Audio-Visual Speech Recognition datasets

archive 2025-07-28

7 datasets carry the task tag "Audio-Visual Speech Recognition" (the task itself: Audio-Visual Speech Recognition), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. 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-Visual Speech Recognition datasets 1–7 of 7

LRW (Lip Reading in the Wild)
The Lip Reading in the Wild (LRW) dataset a large-scale audio-visual database that contains 500 different words from over 1,000 speakers.
188 papers · 8 benchmarks
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
The How2 dataset contains 13,500 videos, or 300 hours of speech, and is split into 185,187 training, 2022 development (dev), and 2361 test utterances.
84 papers · 2 benchmarks
LRS3-TED is a multi-modal dataset for visual and audio-visual speech recognition.
63 papers · 7 benchmarks
MISP2021 (Multimodal Information Based Speech Processing 2021)
The MISP2021 challenge dataset is a collection of audio-visual conversational data recorded in a home TV scenario using distant multi-microphones.
3 papers · 0 benchmarks
A new large-scale, in-thewild Mandarin dataset, CAS-VSR-S101 with 101.1 hours of data.
1 paper · 3 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.