An examination of audio-visual fused HMMs for speaker recognition

Dean, David B. and Wark, Timothy J. and Sridharan, Sridha (2006) An examination of audio-visual fused HMMs for speaker recognition. In: Second Workshop on Multimodal User Authentication, May 11-12, Toulouse, France.

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Abstract

Fused hidden Markov models (FHMMs) have been shown to work well for the task of audio-visual speaker recognition, but only in an output decision-fusion configuration of both the audio- and video-biased versions of the FHMM structure. This paper looks at the performance of the audioand video-biased versions independently, and shows that the audio-biased version is considerably more capable for speaker recognition. Additionally, this paper shows that by taking advantage of the temporal relationship between the acoustic and visual data, the audio-biased FHMM provides better performance at less processing cost than best-performing output decision-fusion of regular HMMs.

ID Code:	5343
Item Type:	Conference Paper
Additional URLs:	http://mmua.cs.ucsb.edu/MMUA2006/
Keywords:	fused hidden Markov model (FHMM), audio, visual speaker verification
Subjects:	Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Divisions:	QUT Faculties and Divisions > Faculty of Built Environment and Engineering
Copyright Owner:	Copyright 2006 (please consult author)
Deposited On:	24 Oct 2006
Last Modified:	07 Nov 2009 02:25

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