TY - JOUR T1 - A Matlab Implementation of a Speech Recognition System Using HMM Models AU - , A. Cherif AU - , F. Chabane AU - , M. Talbi AU - , F.L. Agha JO - Journal of Engineering and Applied Sciences VL - 2 IS - 11 SP - 1587 EP - 1591 PY - 2007 DA - 2001/08/19 SN - 1816-949x DO - jeasci.2007.1587.1591 UR - https://makhillpublications.co/view-article.php?doi=jeasci.2007.1587.1591 KW - Speech recognition system KW -HMM KW -mono-speaker KW -Matlab environment KW -code back conception AB - In this study, we present a speech recognition interface designed for vocal control. The implementation has been realized under the Matlab environment with scripts in C. The program uses the statistical HMM (Hidden Markov Models) for speech modeling, the K-means, Baum-welch algorithms for training and codebook conception and finally the Viterbi decoding algorithm for the recognition process. The recognized word decision is based on the maximal likehood value. The speech database is constituted of 1000 words mono-speaker associated with a denoising module before be applied to the developed interface. ER -