Dynamic visual features for audio-visual speaker verification

Dean, David B. & Sridharan, Sridha (2010) Dynamic visual features for audio-visual speaker verification. Computer Speech and Language, 24(2), 136 - 149.

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The cascading appearance-based (CAB) feature extraction technique has established itself as the state-of-the-art in extracting dynamic visual speech features for speech recognition. In this paper, we will focus on investigating the effectiveness of this technique for the related speaker verification application. By investigating the speaker verification ability of each stage of the cascade we will demonstrate that the same steps taken to reduce static speaker and environmental information for the visual speech recognition application also provide similar improvements for visual speaker recognition. A further study is conducted comparing synchronous HMM (SHMM) based fusion of CAB visual features and traditional perceptual linear predictive (PLP) acoustic features to show that higher complexity inherit in the SHMM approach does not appear to provide any improvement in the final audio-visual speaker verification system over simpler utterance level score fusion.

Impact and interest:

8 citations in Scopus
5 citations in Web of Science®
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ID Code: 38143
Item Type: Journal Article
Refereed: Yes
Keywords: Synchronous hidden Markov models, Audio-visual speaker recognition, Cascading appearance-based features
DOI: 10.1016/j.csl.2009.03.007
ISSN: 0885-2308
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 Elsevier Ltd
Deposited On: 24 Oct 2010 22:48
Last Modified: 29 Feb 2012 14:04

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