S. Murillo Rendón

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Automatic detection of hypernasality in voices of children with Cleft Lip and Palate (CLP) is made considering two charcaterization techniques, one based on acoustic, noise and cepstral analysis and other based on nonlinear dynamic features. Besides characterization, two automatic feature selection techniques are implemented in order to find optimal(More)
There is a national movement underway to assist teachers in connecting the ideas and practices found in multicultural, general, and special education (Sobel & Taylor, 2006, p.29). In particular, educators are seeking innovative ways to implements general education practices with students with low incidence disabilities. This article describes the model used(More)
We propose a first approach to quantify the panelist’s labeling generalizing a soft-margin support vector machine classifier to multi-labeler analysis. Our approach consists of formulating a quadratic optimization problem instead of using a heuristic search algorithm. We determine penalty factors for each panelist by incorporating a linear combination in(More)
In recent years, there has been an increasing interest in the design of pattern recognition systems able to deal with labels coming from multiple sources. To avoid bias during the learning process, in some applications it is strongly recommended to learn from a set of panelists or experts instead of only one. In particular, two aspects are of interest,(More)
A novel technique for characterizing hypernasal vowels and words using nonlinear dynamics is presented considering different complexity measures that are mainly based on the analysis of the time-delay embedded space. After the characterization stage, feature selection is performed by means of two different strategies: principal components analysis and(More)