Skip to main content

An Information Acquiring Channel —— Lip Movement

  • Conference paper
Book cover Affective Computing and Intelligent Interaction (ACII 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3784))

Abstract

This paper is to prove that lip-movement is an available channel for information acquiring. The reasoning is given by describing two kinds of valid applications, which are constructed on lip movement information only. One is lip-reading, the other is lip-movement utterance recognition. The accuracy of the former system with speaker-dependent could achieve 68%, and of the latter achieves over 99.5% for test-independent (TI) and nearly 100% for test-dependent (TD) in experiments till now. From this conclusion, it could be easily got that lip-reading channel is an effective one and can be applied independently.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Petajan, E.D.: Automatic Lipreading to Enhance Speech Recognition. Ph.D. thesis of University of Illinois at Urbana_Champain, vol. 1, p. 261 (1984)

    Google Scholar 

  2. Yao, H.: Research and implementation on some key problems of lip-reading recognition technology. Ph.D. thesis of Department of Computer Science and Technology, Harbin Institute of Technology, China (2003)

    Google Scholar 

  3. Matthews, I., Cootes, T.F., Bangham, J.A., Cox, J.A., Harvey, R.: Extraction of visual features for lipreading. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(2), 198–213 (2002)

    Article  Google Scholar 

  4. Hong, X., Yao, H., Xu, M.: BioModel Database and Its Material Segmentation for Lip-Reading Recognition on Sentence (in Chinese). Chinese Journal Computer Engineering and Application 41(3), 174–177 (2005)

    Google Scholar 

  5. Luettin, J.: Visual Speech and Speaker Recognition. Ph.D. thesis of Department of Computer Science University of Sheffield, UK, vol. 1, p. 14 (1997)

    Google Scholar 

  6. Nefian, A.V., Liang, L.H., Fu, T., Liu, X.X.: A Bayesian Approach to Audio-Visual Speaker Identification. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003, pp. 761–769 (2003)

    Google Scholar 

  7. Nefian, A.V., Liang, L.H., Liu, X.X., Pi, X., Murphy, K.: Dynamic Bayesian networks for audio-visual speech recognition. EURASIP, Journal of Applied Signal Processing 2002(11), 1274–1288 (2002)

    Article  MATH  Google Scholar 

  8. Neti, C., Potamianos, G., Luettin, J., Matthews, I., Vergyri, D., Sison, J., Mashari, A., Zhou, J.: Audio visual speech recognition. In: Final Workshop 2000 Report (2000)

    Google Scholar 

  9. Shan, S.: Study on Some Key Issuses in Face Recognition. Ph.D. thesis of Institute of Computing Technology, Chinese Academy of Sciences, China (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hong, X., Yao, H., Liu, Q., Chen, R. (2005). An Information Acquiring Channel —— Lip Movement. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_30

Download citation

  • DOI: https://doi.org/10.1007/11573548_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29621-8

  • Online ISBN: 978-3-540-32273-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics