Hybrid Hidden Markov Models and Genetic Algorithm for Robust Automatic Visual Speech Recognition
Amina Makhlouf, Lilia Lazli, Bachir Bensaker
Journal of Information Technology Review, Vol. 4, No. 3, 2013.
DOI: 
Link: http://www.dline.info/jitr/fulltext/v4n3/1.pdf
Abstract:
In this paper, we investigate the performance of an Automatic visual speech recognition system (AVSR) using the Hidden Markov Model (HMM) which is optimized by a Genetic Algorithm (GA). The search through the space of HMM structures is combined with optimization of emission and transition probabilities using the Baum-Welch algorithm in the training process. Compared with a HMM-based system, we observe a significant 13-31% improvement of the recognition rates.