CONF Friedland_ICASSP_2009/IDIAP MULTI-MODAL SPEAKER DIARIZATION OF REAL-WORLD MEETINGS USING COMPRESSED-DOMAIN VIDEO FEATURES Friedland, Gerald Hung, Hayley Yeo, Chuohao EXTERNAL http://publications.idiap.ch/attachments/papers/2009/Friedland_ICASSP_2009.pdf PUBLIC International Conference on Audio, Speech and Signal Processing 2009 Speaker diarization is originally defined as the task of de- termining “who spoke when” given an audio track and no other prior knowledge of any kind. The following article shows a multi-modal approach where we improve a state- of-the-art speaker diarization system by combining standard acoustic features (MFCCs) with compressed domain video features. The approach is evaluated on over 4.5 hours of the publicly available AMI meetings dataset which contains challenges such as people standing up and walking out of the room. We show a consistent improvement of about 34 % rela- tive in speaker error rate (21 % DER) compared to a state-of- the-art audio-only baseline.