Visual Speech Recognition: Lip Segmentation and Mapping

Visual Speech Recognition: Lip Segmentation and Mapping

Alan Wee-Chung Liew (Griffith University, Australia) and Shilin Wang (Shanghai Jiaotong University, China)
Indexed In: SCOPUS
Release Date: January, 2009|Copyright: © 2009 |Pages: 572
DOI: 10.4018/978-1-60566-186-5
ISBN13: 9781605661865|ISBN10: 1605661864|EISBN13: 9781605661872
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Description & Coverage

The unique research area of audio-visual speech recognition has attracted much interest in recent years as visual information about lip dynamics has been shown to improve the performance of automatic speech recognition systems, especially in noisy environments.

Visual Speech Recognition: Lip Segmentation and Mapping presents an up-to-date account of research done in the areas of lip segmentation, visual speech recognition, and speaker identification and verification. A useful reference for researchers working in this field, this book contains the latest research results from renowned experts with in-depth discussion on topics such as visual speaker authentication, lip modeling, and systematic evaluation of lip features.


The many academic areas covered in this publication include, but are not limited to:

  • Audio-visual speaker recognition
  • Biometric person recognition
  • Discriminative lip motion features
  • Face and body animation standard
  • Gesture coding
  • Hidden markov model
  • Lip analysis systems
  • Lip contour extraction from video sequences
  • Lip feature extraction
  • Lip modeling and segmentation
  • Lip region segmentation
  • Multimodal speaker identification
  • Optical phonetics
  • Speech and speaker recognition
  • Synthetic speech
  • Visual speech processing and recognition
  • Visual-only speech recognition
Reviews and Testimonials

Visual speech/speaker recognition is an emerging field of research that has many interesting applications in human computer interaction, security, and digital entertainment. This book provides a timely collection of latest research in this area.

– Alan Wee-Chung Liew, Griffith University, Australia

This reference work presents an exhaustive review of current research int he growing fields of lip segmentation, visual speech recognition, and speaker identification and verification.

– Book News Inc. (March 2009)
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Editor/Author Biographies
Alan Wee-Chung Liew received his bachelors degree in engineering with first class honors in electrical and electronic engineering from the University of Auckland, New Zealand, in 1993, anda Ph.D. in Electronic Engineering from the University of Tasmania, Australia, in 1997. He worked as a Research Fellow and later a Senior Research Fellow at the Department of Electronic Engineering at the City University of Hong Kong. From 2004 to 2007, he was with the Department of Computer Science and Engineering, The Chinese University of Hong Kong as an Assistant Professor. In 2007, he joined the School of Information and Communication Technology, Griffith University as a Senior Lecturer. His current research interests include computer vision, medical imaging, pattern recognition and bioinformatics. He serves as a technical reviewer for many international conferences and journals such as IEEE Transactions, IEE proceedings, bioinformatics and computational biology. Dr. Liew is a senior member of the Institute of Electrical and Electronic Engineers (IEEE) since 2005, and his biography is listed in the Marquis Who's Who in the World and Marquis Who's Who in Science and Engineering.
Shilin Wang received his bachelors of engineering degree in Electrical and Electronic Engineering from Shanghai Jiaotong University, Shanghai, China in 2001, and his Ph.D. degree in the Department of Computer Engineering and Information Technology, City University of Hong Kong in 2004. Since 2004, he has been with the School of Information Security Engineering, Shanghai Jiaotong University, where he is currently an Assistant Professor. His research interests include image processing and pattern recognition. His biography is listed in Marquis Who’s Who in Science and Engineering.
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Editorial Review Board
  • Lynne E. Bernstein, House Ear Institute and University of Southern California, USA
  • Josef Bigun, Halmstad University, Sweden
  • Aggelos K. Katsaggelos, Northwestern University, USA
  • Costas Kotropoulos, University of Thessaloniki, Greece
  • Russell M. Mersereau, Georgia Institute of Technology, USA
  • Eric Petajan, CTO, VectorMAX Corporation, USA
  • Gerasimos Potamianos, IBM Thomas J. Watson Research Center, USA