Raul Fernandez

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Using social science methods to induce a state of frustration in users, we collected physiological , video and behavioral data, and developed a strategy for coupling these data with real-world events. The eeectiveness of the proposed strategy was tested in a study with thirty-six subjects , where the system was shown to reliably synchronize and gather data(More)
In this paper we explore the use of features derived from multiresolution analysis of speech and the Teager Energy Operator for classi cation of drivers' speech under stressed conditions. We apply this set of features to a database of short speech utterances to create userdependent discriminants of four stress categories. In addition we address the problem(More)
OBJECTIVE To develop a novel laparoscopic system of moveable instruments that are positioned intra-abdominally and "locked" into place by external permanent magnets placed on the abdomen. SUMMARY BACKGROUND DATA In conventional laparoscopy, multiple trocars are required because of the limited degrees of freedom of conventional instrumentation, and the(More)
In this work we investigate the use of support vector machines (SVMs) and discriminative learning techniques on the task of automatic classification of dialogue acts (DAs) from prosodic cues. We implement and test these classifiers on solving an 8DA classification task on the Spanish CallHome database and report preliminary recognition rates of 47.3% with(More)
Natural orifice translumenal endoscopic surgery (NOTES) is an evolving field and suitable instruments are lacking. The purpose of this study was to perform transvaginal cholecystectomies using instruments incorporated into a magnetic anchoring and guidance system (MAGS). Non-survival procedures were conducted in pigs (n = 4). Through a vaginotomy created(More)
STAG/SA proteins are specific cohesin complex subunits that maintain sister chromatid cohesion in mitosis and meiosis. Two members of this family, STAG1/SA1 and STAG2/SA2,double dagger are classified as mitotic cohesins, as they are found in human somatic cells and in Xenopus laevis as components of the cohesin(SA1) and cohesin(SA2) complexes, in which the(More)
This paper investigates the performance and relevance of a set of acoustic features for the task of automatic recognition of affect from speech using machine learning techniques. Eighty seven novel and classical features related to loudness, intonation, and voice quality, are examined. Using feature selection, the results yield a performance level of 49.4%(More)
Deep Neural Networks (DNNs) have been shown to provide state-of-the-art performance over other baseline models in the task of predicting prosodic targets from text in a speechsynthesis system. However, prosody prediction can be affected by an interaction of shortand long-term contextual factors that a static model that depends on a fixed-size context window(More)
In this work we look at using non-parametric, exemplar-based regression for the prediction of prosodic contour targets from textual features in a speech synthesis system. We investigate the performance of Gaussian Process regression on this task when the covariance kernel operates on a variety of input feature spaces. In particular, we consider non-linear(More)
Magnetic anchoring guidance systems (MAGS) are composed of an internal surgical instrument controlled by an external handheld magnet and do not require a dedicated surgical port. Therefore, this system may help to reduce internal and external collision of instruments associated with laparoendoscopic single-site (LESS) surgery. Herein, we describe the(More)