Abraham Alcaim

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In this paper, a text-independent automatic speaker recognition (ASkR) system is proposed-the SR/sub Hurst/-which employs a new speech feature and a new classifier. The statistical feature pH is a vector of Hurst (H) parameters obtained by applying a wavelet-based multidimensional estimator (M/spl I.bar/dim/spl I.bar/wavelets ) to the windowed short-time(More)
In this paper, we introduce a formula to align the vertical coefficients of the SA-DCT (shape-adaptive discrete cosine transform). Instead of grouping coefficients with the same index as proposed by Sikora and Makai (1995), the new method employs an alignment by phase strategy. Experimental results are given for both synthetic segments and real testing(More)
A new algorithm for image enhancement in the two dimensional discrete cosine transform (2D DCT) domain is presented. The proposed scheme uses a band-adaptive contrast modification to enhance a large number of image details. In addition, it avoids noise amplification during the enhancement process. Experiments show the effectiveness of the proposed scheme as(More)
This paper examines the role of the Principal Components Analysis (PCA) on the performance of two classification systems for text independent speaker verification: the Gaussian Mixture Model (GMM) and the AR-Vector Model. The use of the PCA transform resulted in an improvement in the performance of the GMM for training times of ¼× and ¿¼×. However, the(More)