logo Idiap Research Institute        
 [BibTeX] [Marc21]
Towards Audio-Visual On-line Diarization Of Participants In Group Meetings
Type of publication: Conference paper
Citation: Hung_ECCVM2SFA2_2008
Booktitle: European Conference on Computer Vision Workshop on Multi-camera and Multi-modal Sensor Fusion
Year: 2008
Month: 10
Abstract: We propose a fully automated, unsupervised, and non-int\-rusive method of identifying the current speaker audio-vis\-ually in a group conversation. This is achieved without specialized hardware, user interaction, or prior assignment of microphones to participants. Speakers are identified acoustically using a novel on-line speaker diarization approach. The output is then used to find the corresponding person in a four-camera video stream by approximating individual activity with computationally efficient features. We present results showing the robustness of the association on over 4.5 hours of non-scripted audio-visual meeting data.
Projects Idiap
Authors Hung, Hayley
Friedland, Gerald
Added by: [UNK]
Total mark: 0
  • Hung_ECCVM2SFA2_2008.pdf