Datasets › MISP2021
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. The dataset captures interactions between several individuals who are engaged in conversations in Chinese while watching TV and interacting with a smart speaker/TV in a living room. The dataset is extensive, comprising 141 hours of audio and video data, which were collected using far/middle/near microphones and far/middle cameras in 34 real-home TV rooms. Notably, this corpus is the first of its kind to offer a distant multimicrophone conversational Chinese audio-visual dataset. Furthermore, it is also the first large vocabulary continuous Chinese lip-reading dataset specifically designed for the adverse home-TV scenario.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- MISP2021
1 variant name, as the archive lists them.
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