• DocumentCode
    2170261
  • Title

    Minimizing Vertices in 3D Lips Model Using Relevance Measure

  • Author

    Salleh, Siti Salwa

  • Author_Institution
    Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2012
  • fDate
    28-30 March 2012
  • Firstpage
    365
  • Lastpage
    370
  • Abstract
    This paper presents works involved in developing a three-dimensional lips in a visual speech synthesis system. Several works have been done in similar areas, but a systematic approach of identifying and determining appropriate number of vertices in the lips model were not explained thoroughly. Instead of the development technique, this paper is also presents an experimental set up designed to test the capabilities and flexibility of the lips in deforming speech. This paper explains on the process of capturing the lips and on the relevance measure technique used to identify optimum number of vertices to deform visemes in Standard Malay language. Results shown in this work proves that a systematic degradation by retaining 0.005% of 24,000 vertices into 120 vertices would remain the similar quality of lips deformation. Therefore, the outcome of this study justifies that an appropriate number of vertices which suitable to be used in visual speech synthesis for 3D lips model.
  • Keywords
    natural language processing; solid modelling; speech synthesis; 3D lips model; Malay language; relevance measure; vertices; visual speech synthesis system; Hidden Markov models; Lips; Shape; Solid modeling; Speech; Three dimensional displays; Visualization; 3D Lips; Polygonal Construct; Relevance Measure; Similarity Measurement; Visual Speech Synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4673-1366-7
  • Type

    conf

  • DOI
    10.1109/UKSim.2012.111
  • Filename
    6205475