Conference paper

Visual Speaker Localization Aided by Acoustic Models

The following paper presents a novel audio-visual approach for unsupervised speaker locationing. Using recordings from a single, low-resolution room overview camera and a single far-field microphone, a state-of-the art audio-only speaker localization system (traditionally called speaker diarization) is extended so that both acoustic and visual models are estimated as part of a joint unsupervised optimization problem. The speaker diarization system first automatically determines the number of speakers and estimates “who spoke when”, then, in a second step, the visual models are used to infer the location of the speakers in the video. The experiments were performed on real-world meetings using 4.5 hours of the publicly available AMI meeting corpus. The proposed system is able to exploit audio-visual integration to not only improve the accuracy of a state-of-the-art (audioonly) speaker diarization, but also adds visual speaker locationing at little incremental engineering and computation costs.


    • LIDIAP-CONF-2009-014

    Record created on 2010-02-11, modified on 2017-05-10


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