Technical Program

Paper Detail

Paper:MSP-P1.4
Session:Human Machine Interface; Signal Processing for Media Integration and Application
Time:Friday, May 21, 09:30 - 11:30
Presentation: Poster
Topic: Multimedia Signal Processing: Human-Machine Interface
Title: AUDIO TO VISUAL SIGNAL MAPPINGS WITH HMM
Authors: WenTao Liu; Beijing Polytechnic University 
 BaoCai Yin; Beijing Polytechnic University 
 XiBin Jia; Beijng Polytechnic University 
 DeHui Kong; Beijing Polytechnic University 
Abstract: There has been a large amount of research on speech driven face animation. Particularly, recently research efforts have been demonstrated that the Hidden Markov Model techniques could achieve a high level of success in the filed of audio/visual mapping without language information. In this paper, firstly a linear model based facial representation method was applied, which extract face feature as a global feature. Secondly a HMM based method was presented, which include a two-level frame to promote the audio-visual mapping result.
 
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