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
Link To Document :
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