Author(s): Lahmiri S; Tadj C; Gargour C;

Voice analysis and classification for biomedical diagnosis purpose is receiving a growing attention to assist physicians in the decision-making process in clinical milieu. In this study, we develop and test deep feedforward neural networks (DFFNN) to distinguish between healthy and unhealthy newborns. The DFFNN are trained with acoustic features measured ...

Article GUID: 41294952

Author(s): Sares AG; Gilbert AC; Zhang Y; Iordanov M; Lehmann A; Deroche MLD;

Auditory memory is an important everyday skill evaluated more and more frequently in clinical settings as there is recently a greater recognition of the cost of hearing loss to cognitive systems. Testing often involves reading a list of unrelated items aloud; but prosodic variations in pitch and timing across the list can affect the number of items rememb ...

Article GUID: 37338981

Author(s): Caballero JA; Auclair Ouellet N; Phillips NA; Pell MD;

Introduction: Parkinson's Disease (PD) commonly affects cognition and communicative functions, including the ability to perceive socially meaningful cues from nonverbal behavior and spoken language (e.g., a speaker's tone of voice). However, we know little about how people with PD use social information to make decisions in daily interactions (e.g ...

Article GUID: 35997248

Author(s): Gilbert AC, Honda CT, Phillips NA, Baum SR

We examined lexical stress processing in English-French bilinguals. Auditory mismatch negativity (MMN) responses were recorded in response to English and French pseudowords, whose primary stress occurred either on a language-consistent "usual" or language-inconsistent "unusual" syllable. In most conditions, the pseudowords elicited two consecutive MMNs, a ...

Article GUID: 33333337