Classifying Visemes for Automatic Lipreading

  • Michiel Visser
  • Mannes Poel
  • Anton Nijholt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1692)

Abstract

Automatic lipreading is automatic speech recognition that uses only visual information. The relevant data in a video signal is isolated and features are extracted from it. From a sequence of feature vectors, where every vector represents one video image, a sequence of higher level semantic elements is formed. These semantic elements are “visemes” the visual equivalent of “phonemes” The developed prototype uses a Time Delayed Neural Network to classify the visemes.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Michiel Visser
    • 2
  • Mannes Poel
    • 1
  • Anton Nijholt
    • 1
  1. 1.Department of Computer ScienceUniversity of TwenteAE EnschedeThe Netherlands
  2. 2.Philips Medical SystemsThe Netherlands

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