Title :
Concerning the parameters choice of a speech recognition system of isolated Arabic words
Author :
Senani, CH ; Bedda, M. ; Bourouba, H. ; Corba, Med Amara
Author_Institution :
Dept. of electron., Univ. Badji-Mokhtar, Annaba, Algeria
Abstract :
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).
Keywords :
Gaussian processes; hidden Markov models; speech recognition; statistical analysis; Gaussian states; continuous HMM; first order differential parameters; hidden Markov model; isolated Arabic words; parameterization phase; speech recognition system; statistical modeling; training phase; Hidden Markov models; Isolation technology; Iterative algorithms; Linear predictive coding; Mel frequency cepstral coefficient; Probability; Signal processing; Space technology; Speech processing; Speech recognition;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN :
0-7803-8482-2
DOI :
10.1109/ICTTA.2004.1307836
