• DocumentCode
    130924
  • Title

    Review of the lip-reading recognition

  • Author

    Zeliang Zhang ; Wenliang Qu ; Fumei Liu

  • Author_Institution
    Inst. of Inf. Technol. & Media, Beihua Univ., Jilin, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    593
  • Lastpage
    596
  • Abstract
    As an important component of the future HumanComputer Interface, Automatic Speech Recognition is designed for the purpose of realizing identification recognition and natural language comprehension by means of human voice. Speech recognition technology has acquired significant achievements with some successful popularity and applications. IBM´s ViaVoice system, for instance, has good performances when the vocabulary pool is small and when the noise is low. But its performance will be greatly degraded when used in real application environments. In future applications of the humancomputer interaction, such as in a car, at airport, or live interviews, higher requirements for robust systems will be needed, therefore we need to explore new ways. Proved highly effective by most researchers, the combination of visual features of lip motion with vocal features can raise the recognition rate of the automatic speech system, and make it more robust and more adaptable to real environments. This focuses on the recognition methods and speech and visual fusion algorithm, which aims to attract more researchers to be interested and concerned in this area of research.
  • Keywords
    human computer interaction; image classification; image fusion; natural language processing; speech recognition; IBM ViaVoice system; automatic speech system recognition rate; human voice; human-computer interface; identification recognition; lip motion; lip-reading recognition; natural language comprehension; speech-visual fusion algorithm; visual features; vocal features; Artificial neural networks; Hidden Markov models; Speech; Speech recognition; Training; Visualization; Vocabulary; ANN; HMM; fusion algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933638
  • Filename
    6933638