Lip temporal pattern analysis for automatic visual speech recognition

Lei Xie, Xiuli Cai, Zhonghua Fu, Dongmei Jiang, Rongchun Zhao

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

This paper presents a novel approach to processing temporal lip motion information for dynamic visual feature extraction in visual speech recognition. The long-time Lip TempoRAl Patterns (LipTRAPs) of visual phonemes are introduced to analyze the nature of lip shape changes when uttering speech. A dynamic visual feature is also proposed based on the LipTRAPs. Visual speech recognition experiments on a connected-digits task show that the LipTRAP feature can yield significant WRR improvments than conventional delta features.

Original languageEnglish
Pages703-706
Number of pages4
StatePublished - 2004
Event2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China
Duration: 31 Aug 20044 Sep 2004

Conference

Conference2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Country/TerritoryChina
CityBeijing
Period31/08/044/09/04

Keywords

  • Feature extraction
  • Lip temporal pattern
  • Lipreading
  • Visual speech recognition

Fingerprint

Dive into the research topics of 'Lip temporal pattern analysis for automatic visual speech recognition'. Together they form a unique fingerprint.

Cite this