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In this paper we evaluate the effect of the emotional state of a speaker when text-independent speaker identification is performed. The spectral features used for speaker recognition are the Mel-frequency cepstral coefficients, while for the training of the speaker models and testing the system the Gaussian Mixture Models are employed. The tests are… (More)
The goal of this paper is to assess the effect of emotional state of a speaker when text-independent speaker identification is performed. Mel-frequency cepstral coefficients are the features of the speech signal used for speaker recognition. For training the speaker models and testing the system , Support Vector Machines are employed. Berlin emotional… (More)
After a review of the circle fitting issue, we recall a relatively unknown method derived from a classical geometric result. We propose an improvement of this technique by reweighting the data, iterating the procedure, and choosing at every step as the new inversion point the one diametrically opposite to the previous inversion point.
In this work, a new on-line signature verification system is proposed. Firstly, the pen-position parameters of the online signature are decomposed into multiscale signals by using the wavelet transform technique. A TESPAR DZ based method is employed to code the approximation and details coefficients. Thus, for each analyzed time function, a fixed dimension… (More)
In this article we propose different fusion schemes using information provided by visible and infrared images for road obstacle SVM-based classification. Three approaches for the fusion of VIS and IR information are presented. The early fusion yields a feature vector integrating at the feature level both visual and infrared information. The obtained bimodal… (More)
A new stochastic gradient algorithm for data echo cancellation, based on the cost function adaptation (CFA) is Proposed. Qualities of the new adaptation algorithm as compared with that of the least mean square (LMS) and the least mean fourth (LMF) algorithms are demonstrated by means of simulations. Thus it is shown that continuous and automatic, adaptation… (More)
— The goal of this paper is to present a novel variable length LMS (Least Mean Square) algorithm , in which the length of the adaptive filter is always a power of two and it is modified using an error estimate. Unlike former variable length stochas-tic gradient adaptive techniques, the proposed algorithm works in non-stationary situations. The… (More)
This letter introduces the convex variable step-size (CVSS) algorithm. The convexity of the resulting cost function is guaranteed. Simulations presented show that with the proposed algorithm, we obtain similar results, as with the VSS algorithm in initial convergence, while there are potential performance gains when abrupt changes occur.