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.
Variants: AliMeeting
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Speaker Diarization | SOND | Speaker Embedding-aware Neural Diarization: an … | 2022-03-18 |
Recent papers with results on this dataset: