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Conference papers
Towards Audio-Visual On-line Diarization Of Participants In Group Meetings
Abstract : We propose a fully automated, unsupervised, and non-intrusive method of identifying the current speaker audio-visually 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.
Cited literature [20 references]
https://hal.inria.fr/inria-00326746
Contributor : Peter Sturm <>
Submitted on : Sunday, October 5, 2008 - 1:47:28 PM
Last modification on : Thursday, February 7, 2019 - 5:55:47 PM
Long-term archiving on: : Thursday, June 3, 2010 - 10:20:29 PM
Contributor : Peter Sturm <>
Submitted on : Sunday, October 5, 2008 - 1:47:28 PM
Last modification on : Thursday, February 7, 2019 - 5:55:47 PM
Long-term archiving on: : Thursday, June 3, 2010 - 10:20:29 PM
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