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Modelling auditory attention

Sounds in everyday life seldom appear in isolation. Both humans and machines are constantly flooded with a cacophony of sounds that need to be sorted through and scoured for relevant information—a phenomenon referred to as the ‘cocktail party problem’. A key component in parsing acoustic scenes is t...

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Detalles Bibliográficos
Autores principales: Kaya, Emine Merve, Elhilali, Mounya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206269/
https://www.ncbi.nlm.nih.gov/pubmed/28044012
http://dx.doi.org/10.1098/rstb.2016.0101
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author Kaya, Emine Merve
Elhilali, Mounya
author_facet Kaya, Emine Merve
Elhilali, Mounya
author_sort Kaya, Emine Merve
collection PubMed
description Sounds in everyday life seldom appear in isolation. Both humans and machines are constantly flooded with a cacophony of sounds that need to be sorted through and scoured for relevant information—a phenomenon referred to as the ‘cocktail party problem’. A key component in parsing acoustic scenes is the role of attention, which mediates perception and behaviour by focusing both sensory and cognitive resources on pertinent information in the stimulus space. The current article provides a review of modelling studies of auditory attention. The review highlights how the term attention refers to a multitude of behavioural and cognitive processes that can shape sensory processing. Attention can be modulated by ‘bottom-up’ sensory-driven factors, as well as ‘top-down’ task-specific goals, expectations and learned schemas. Essentially, it acts as a selection process or processes that focus both sensory and cognitive resources on the most relevant events in the soundscape; with relevance being dictated by the stimulus itself (e.g. a loud explosion) or by a task at hand (e.g. listen to announcements in a busy airport). Recent computational models of auditory attention provide key insights into its role in facilitating perception in cluttered auditory scenes. This article is part of the themed issue ‘Auditory and visual scene analysis’.
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spelling pubmed-52062692017-02-19 Modelling auditory attention Kaya, Emine Merve Elhilali, Mounya Philos Trans R Soc Lond B Biol Sci Articles Sounds in everyday life seldom appear in isolation. Both humans and machines are constantly flooded with a cacophony of sounds that need to be sorted through and scoured for relevant information—a phenomenon referred to as the ‘cocktail party problem’. A key component in parsing acoustic scenes is the role of attention, which mediates perception and behaviour by focusing both sensory and cognitive resources on pertinent information in the stimulus space. The current article provides a review of modelling studies of auditory attention. The review highlights how the term attention refers to a multitude of behavioural and cognitive processes that can shape sensory processing. Attention can be modulated by ‘bottom-up’ sensory-driven factors, as well as ‘top-down’ task-specific goals, expectations and learned schemas. Essentially, it acts as a selection process or processes that focus both sensory and cognitive resources on the most relevant events in the soundscape; with relevance being dictated by the stimulus itself (e.g. a loud explosion) or by a task at hand (e.g. listen to announcements in a busy airport). Recent computational models of auditory attention provide key insights into its role in facilitating perception in cluttered auditory scenes. This article is part of the themed issue ‘Auditory and visual scene analysis’. The Royal Society 2017-02-19 /pmc/articles/PMC5206269/ /pubmed/28044012 http://dx.doi.org/10.1098/rstb.2016.0101 Text en © 2017 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Kaya, Emine Merve
Elhilali, Mounya
Modelling auditory attention
title Modelling auditory attention
title_full Modelling auditory attention
title_fullStr Modelling auditory attention
title_full_unstemmed Modelling auditory attention
title_short Modelling auditory attention
title_sort modelling auditory attention
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206269/
https://www.ncbi.nlm.nih.gov/pubmed/28044012
http://dx.doi.org/10.1098/rstb.2016.0101
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