Wladimir Rodriguez

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A new approach for analyzing the similarity of dynamical systems is presented with applications to the analysis of voice. This approach is based on a fuzzy information space representation of the trajectories of the voice signal. The similarity between the segments of voice signal is determined based on similarity measures of the corresponding fuzzy(More)
The speech inverse problem focuses on retrieving the best articulatory vectors for the task of synthesizing a target voice signal. In this research the problem is approached from a neuromotor level, and by means of some machine learning techniques. Specifically, speech articulators are represented on the midsagittal plane, and controlled by muscular(More)
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