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The Bayesian approach to audio-visual speaker identification described in this paper (Figure 1) starts with the detection of the face and mouth in a video.
Jun 24, 2003 · In this paper we describe a text dependent audio-visual speaker identification approach that combines face recognition and audio-visual ...
In this paper we describe a text dependent audio-visual speaker identification approach that combines face recognition and audio-visual speech-based ...
Abstract. In this paper we describe a text dependent audio-visual speaker identification approach that combines face recognition and.
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We demonstrate the use of DBN in tackling the problem of audio/visual speaker detection. "Off-the-shelf" visual and audio sensors (face, skin, texture, mouth ...
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In this paper, we describe the use of two statistical models for audio-visual integration, the coupled HMM (CHMM) and the factorial HMM (FHMM), and compare the ...
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Bayesian networks are statistical models that extend the framework of hidden Markov models (HMM) and allow for the analysis of multi modal signals such as ...
We introduce the family of Bayesian filters and summarize the methods for obtaining audio-visual measurements. In addition, the existing trackers and their ...
A Bayesian Approach to Audio-Visual Speaker Identification · A. NefianLuhong LiangTieyan FuXiaoxing Liu. Computer Science. AVBPA. 2003. TLDR. Experimental ...
The audio-visual speaker identification accuracy is enhanced in a late decision approach that integrates the audio-visual speech likelihood and the face ...