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This document belongs to the implementation of a system of recognition of the bases on the Hidden Models of Markov HMM. Due to a system of recognition, we will use the techniques of parameterization which handles the mechanisms of the human ear Mel Frequency cepstral coefficient MFCC and Perceptual linear prediction PLP starting from the database TIMIT. We also used two indices Jitter and Shimmer...
In this article we present the variation of the speech signal of the database TIMIT and NTIMIT with its morphological characteristics of the speakers as well as the extrinsic variability related to the conditions of transmission and acquisition of the signal. For this study we measured the timbre and the intensity in order to choose the best indices that give us a good effect for the identification...
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