David Martinez

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This work studies the use of deep neural networks (DNNs) to address automatic language identification (LID). Motivated by their recent success in acoustic modelling, we adapt DNNs to the problem of identifying the language of a given spoken utterance from short-term acoustic features. The proposed approach is compared to state-of-the-art i-vector based(More)
Local consistency enforcing is at the core of CSP (Constraint Satisfaction Problem) solving. Although arc consistency is still the most widely used level of local consistency, researchers are going on investigating more powerful levels, such as path consistency, k-consistency, (i,j)-consistency. Recently, more attention has been turned to inverse local(More)
Exact and inexact methods can be used for solving Constraint Satisfaction Problems (CSP), i.e. for finding a variable assignment which violates none of the constraints or minimizes the number of violated constraints. Based on a Backtrack tree search, exact methods are able to produce an optimal assignment, when no time limit is imposed. Based on local(More)
Traumatic brain injury (TBI) is a chronic health condition. The prevalence of TBI, combined with limited advances in protocols to mitigate persistent TBI-related impairments in higher order cognition, present a significant challenge. In this randomised study (n = 60), we compared the benefits of Strategic Memory Advanced Reasoning Training (SMART, n = 31),(More)
Exascale will present many challenges to the HPC community, but the primary problem will likely be power consumption. Current petascale systems already use a significant fraction of the power that an exascale system will be allotted. In this paper, we show measurements for real I/O power use in three large systems. We show that I/O power use is(More)
In this work, we present a comprehensive study on the use of deep neural networks (DNNs) for automatic language identification (LID). Motivated by the recent success of using DNNs in acoustic modeling for speech recognition, we adapt DNNs to the problem of identifying the language in a given utterance from its short-term acoustic features. We propose two(More)
RESUMEN La segmentación de imágenes es un campo de in-vestigación relevante en el procesamiento de imágenes. Muchos algoritmos avanzados han sido desarrollados para separar en una imagen a color, una región de interés de su fondo (snakes, live-wire, entre otros). Sin embargo, los resultados obtenidos no son satisfactorios en muchos casos. Métodos más(More)