Why speaker diarization DER on Ego4D dataset is so bad?
According to:pyannote/speaker-diarization · Hugging Face,the performacne of PyAnnotespeaker diarizationonEgo4Ddataset is very bad (very high DER rate):Is there a reason for this bad results ?What is the different between Ego4D dataset and the other datasets that the performance is inferior ?