Omkar2118/datasets huggingface dataset:
AliMeeting
Full name: Multi-Channel Multi-Party Meeting Transcription Challenge

AliMeeting corpus consists of 120 hours of recorded Mandarin meeting data, including far-field data collected by 8-channel microphone array as well as near-field data collected by headset microphone. Each meeting session is composed of 2-4 speakers with different speaker overlap ratio, recorded in rooms with different size.

Introducing paper: M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge