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Concerning the parameters choice of a speech recognition system of isolated Arabic words
Conference proceeding

Concerning the parameters choice of a speech recognition system of isolated Arabic words

C.H. Senani, M. Bedda, H. Bourouba and M.A. Corba
Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004, pp.471-472
2004
DOI: https://doi.org/10.1109/ICTTA.2004.1307836

Abstract

Hidden Markov models Isolation technology Iterative algorithms Linear predictive coding Mel frequency cepstral coefficient Probability Signal processing Space technology Speech processing Speech recognition
In this paper basic technologies intervening in the design of recognition system of Arab isolated words based on statistical modeling by the continuous HMMs (hidden Markov model) is presented. A comparative study based on the methods of analysis for the parameterization phase and the effect of the number of Gaussians and states for the training phase is studied. The best rate of recognition is obtained by the use of the differential parameters of the first order (MFCC).

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