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- W1590175695 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)." @default.
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- W1590175695 date "2004-11-13" @default.
- W1590175695 modified "2023-09-26" @default.
- W1590175695 title "Concerning the parameters choice of a speech recognition system of isolated arabic words" @default.
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- W1590175695 doi "https://doi.org/10.1109/ictta.2004.1307836" @default.
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