Release of M3SD, a 770+ hour pseudo-labeled multi-scenario, multi-language audio-visual speaker diarization dataset, built from YouTube and Bilibili videos without manual annotation.
Speaker diarization: A review of recent research,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
M3SD: Multi-modal, Multi-scenario and Multi-language Speaker Diarization Dataset
Release of M3SD, a 770+ hour pseudo-labeled multi-scenario, multi-language audio-visual speaker diarization dataset, built from YouTube and Bilibili videos without manual annotation.