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. |
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| Projects |
Idiap AMIDA VACE IM2 |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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