Mohamed Debyeche

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This paper investigate the influence of GSMEFR speech Data on the performance of a text independent Speaker Identification System (SIS) based on Gaussian Mixture Models (GMM) classifiers. The performance evaluation due to the use of the GSMEFR speech Data, obtained by passing the local ARADIGIT database through the GSM coder/decoder. The recognition(More)
This paper investigates the use of a Time Delay Neural Network (TDNN) as fuzzy vector quantizer to improve the Distributed scheme of HMM speech recognition. We investigate how to optimize the use of the Vector Quantization (VQ) by combining complementary preprocessing techniques based on multi-streams acoustic analysis. Then, in order to eliminate the(More)
In this paper, we propose a low bit-rate compression scheme in distributed speech recognition (DSR) system based on polynomial interpolation. Dimensionality reduction of a set of successive Mel frequency cepstral coefficients (MFCCs) is achieved by performing polynomial least squares fitting. A conventional vector quantization (VQ) is applied to the(More)
In this paper a new variant of HMM named distributed VQ HMM (DVQHMM) is presented. Its main characteristic is the use of a code books distributed on HMM states with a new manner of HMM parameters estimation. Procedures for training and HMM evaluation of each recognition unit are described. Comparative results on an isolated phoneme recognition system are(More)