Title :
Modeling continuous visual speech using boosted viseme models
Author :
Dong, Liang ; Foo, Say Wei ; Lian, Yong
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
In this paper, a novel connected-viseme approach for modeling continuous visual speech is presented. The approach adopts AdaBoost-HMMs as the viseme models. Continuous visual speech is modeled by connecting the viseme models using level building algorithm. The approach is applied to identify words and phrases in visual speech. The recognition results indicate that the proposed method has better performance than the conventional approach.
Keywords :
hidden Markov models; image classification; speech processing; speech recognition; video signal processing; AdaBoost-HMM; boosted viseme model; continuous visual speech; hidden Markov model; level building algorithm; visual speech recognition; Buildings; Content based retrieval; Facial muscles; Hidden Markov models; Joining processes; Modems; Neural networks; Speech processing; Speech recognition; Tongue;
Conference_Titel :
Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
Print_ISBN :
0-7803-8185-8
DOI :
10.1109/ICICS.2003.1292694
