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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