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Recognition of the German Visemes Using Multiple Feature Matching

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2191))

Abstract

In this paper, we present a technique for the extraction of the main five visemes for German spoken language analysis from images. The intensity, the edges, and the line segments are used to locate the lips automatically, and to discriminate between the desired viseme classes. Good recognition rate has been achieved on different speakers.

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© 2001 Springer-Verlag Berlin Heidelberg

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Shdaifat, I., Grigat, RR., Lütgert, S. (2001). Recognition of the German Visemes Using Multiple Feature Matching. In: Radig, B., Florczyk, S. (eds) Pattern Recognition. DAGM 2001. Lecture Notes in Computer Science, vol 2191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45404-7_58

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  • DOI: https://doi.org/10.1007/3-540-45404-7_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42596-0

  • Online ISBN: 978-3-540-45404-5

  • eBook Packages: Springer Book Archive

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