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ICASSP
2009
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Multi-modal speaker diarization of real-world meetings using compressed-domain video features

10 years 4 months ago
Multi-modal speaker diarization of real-world meetings using compressed-domain video features
Speaker diarization is originally defined as the task of determining “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 stateof-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 % relative in speaker error rate (21 % DER) compared to a state-ofthe-art audio-only baseline.
Gerald Friedland, Hayley Hung, Chuohao Yeo
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Gerald Friedland, Hayley Hung, Chuohao Yeo
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