Assessment of Individual Listening Strategies: From Physiological to Perceptual Responses Using Experimental Paradigms and Time-Domain Simulations

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Alejandro Osses

Laboratoire des systèmes perceptifs, École Normale Supérieure (ENS), PSL University

Alejandro Osses obtained the professional degree of civil engineer in sound and acoustics in 2010 from the Technological University of Chile INACAP and worked in the area of environmental acoustics for several local consultancy companies (2010-2012). In 2012, he moved to Europe, completing a predoctoral program in biomedical sciences at the University of Leuven (Belgium) on the topic of cochlear-implant signal processing and experimental (psychoacoustical) design. He then obtained a Ph.D. at Eindhoven University of Technology (the Netherlands, 2014-2018) under the supervision of prof. Armin Kohlrausch on the topic of auditory perception using time-domain auditory models. Since October 2018, he has worked as a postdoctoral researcher on the topic of advanced auditory modelling for the simulation of behavioural and objective tasks that are typically used in physiology and psychoacoustics. He was first appointed at Ghent University (Belgium, 2018-2020) to the group of Prof. Sarah Verhulst and he now works at École Normale Supérieure (ENS), PSL University (Paris, France, 2021-current) together with Léo Varnet and Prof. Christian Lorenzi. Since 2020 he has also been an active collaborator on the Auditory Modelling Toolbox project lead by Piotr Majdak (Austrian Academy of Sciences).

Collection Overview

This collection compiles methods that can be used to better understand individual listening strategies based on the analysis of purely empirical data or in combination with simulations. The common factor in these methods is how the obtained response variability is interpreted. This variability can stem from internal aspects of auditory processing or from external variations in noisy stimuli that are being listened to. This collection covers methods that can be used in animal physiology or in human objective and behavioural tasks, where simulations of the peripheral auditory processing or the use of advanced statistical methods allow a quantitative analysis of time-frequency cues that may lead to such variability. The focus of this collection will be on the close-loop benefit between experimental and simulation data, which can be used to set quantitative expectations based on previous scientific knowledge, not only improving our fundamental understanding of auditory processes but also facilitating the design of listener-targeted technologies. For the previous reasons, this collection is relevant for research areas such as but not limited to experimental physiology (recording of subcortical and/or cortical responses, EEG), audiology (speech perception, hearing assessment), and psychophysics (speech perception, complex-tone perception).