3,861 research outputs found

    User-Symbiotic Speech Enhancement for Hearing Aids

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    Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

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    Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

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    Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

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    ​The International Symposium on Hearing is a prestigious, triennial gathering where world-class scientists present and discuss the most recent advances in the field of human and animal hearing research. The 2015 edition will particularly focus on integrative approaches linking physiological, psychophysical and cognitive aspects of normal and impaired hearing. Like previous editions, the proceedings will contain about 50 chapters ranging from basic to applied research, and of interest to neuroscientists, psychologists, audiologists, engineers, otolaryngologists, and artificial intelligence researchers.

    Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

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    otorhinolaryngology; neurosciences; hearin

    Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

    Get PDF

    Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

    Get PDF

    Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

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    Non-Verbal Communication Analysis in Victim-Offender Mediations

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    In this paper we present a non-invasive ambient intelligence framework for the semi-automatic analysis of non-verbal communication applied to the restorative justice field. In particular, we propose the use of computer vision and social signal processing technologies in real scenarios of Victim-Offender Mediations, applying feature extraction techniques to multi-modal audio-RGB-depth data. We compute a set of behavioral indicators that define communicative cues from the fields of psychology and observational methodology. We test our methodology on data captured in real world Victim-Offender Mediation sessions in Catalonia in collaboration with the regional government. We define the ground truth based on expert opinions when annotating the observed social responses. Using different state-of-the-art binary classification approaches, our system achieves recognition accuracies of 86% when predicting satisfaction, and 79% when predicting both agreement and receptivity. Applying a regression strategy, we obtain a mean deviation for the predictions between 0.5 and 0.7 in the range [1-5] for the computed social signals.Comment: Please, find the supplementary video material at: http://sunai.uoc.edu/~vponcel/video/VOMSessionSample.mp
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