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- W1771384906 abstract "In this paper we present a system for identifying and localizingspeakers using distant microphone arrays and a steerablepan-tilt-zoom camera. Audio and video streams are processedin real-time to obtain the diarization information {grqq}who speakswhen and where'' with low latency to be used in advanced videoconferencing systems or user-adaptive interfaces. A key featureof the proposed system is to first glean information about thespeaker{rq}s location and identity from the audio and visual datastreams separately and then to fuse these data in a probabilisticframework employing the Viterbi algorithm. Here, visual evidenceof a person is utilized through a priori state probabilities,while location and speaker change information are employedvia time-variant transition probablities. Experiments show thatvideo information yields a substantial improvement comparedto pure audio-based diarization." @default.
- W1771384906 created "2016-06-24" @default.
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- W1771384906 date "2009-09-06" @default.
- W1771384906 modified "2023-10-18" @default.
- W1771384906 title "Fusing audio and video information for online speaker diarization" @default.
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- W1771384906 doi "https://doi.org/10.21437/interspeech.2009-338" @default.
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