Leandro Daniel Vignolo

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—Active shape models is an adaptive shape-matching technique that has been used for locating facial features in images. However, when a number of features is extracted for each landmark point, distortions caused by noise or illumination, and the dimensionality of the final representation, have a negative impact in the performance of a classifier. In this(More)
Mel-frequency cepstral coefficients have long been the most widely used type of speech representation. They were introduced to incorporate biologically inspired characteristics into artificial speech recognizers. Recently, the introduction of new alternatives to the classic mel-scaled filterbank have led to improvements in the performance of phoneme(More)
Some of the most commonly used speech representations, such as mel-frequency cepstral coefficients, incorporate biologically inspired characteristics into artificial systems. Recent advances have been introduced modifying the shape and distribution of the traditional perceptually scaled filterbank, commonly used for feature extraction. Some alternatives to(More)
Although most of the natural emotions expressed in speech can be clearly identified by humans, automatic classification systems still display significant limitations on this task. Recently, hierarchical strategies have been proposed using different heuristics for choosing the appropriate levels in the hierarchy. In this paper, we propose a method for(More)
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