Please use this identifier to cite or link to this item: doi:10.22028/D291-44898
Title: Understanding speech in "noise" or free energy minimization in the soundscapes of the anthropocene
Author(s): Strauss, Daniel J.
Francis, Alexander L.
Schäfer, Zeinab
Latzel, Matthias
Corona-Strauss, Farah I.
Launer, Stefan
Language: English
Title: Frontiers in Neuroscience
Volume: 19
Publisher/Platform: Frontiers
Year of Publication: 2025
Free key words: hearing
evolution
noise
free energy principle
attention
listening effort
speech
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Listening to speech in the presence of irrelevant sounds is ubiquitous in the modern world, but is generally acknowledged to be both eortful and unpleasant. Here we argue that this problem arises largely in circumstances that our human auditory system has not evolved to accommodate. The soundscapes of the Anthropocene are frequently characterized by an overabundance of sound sources, the vast majority of which are functionally irrelevant to a given listener. The problem of listening to speech in such environments must be solved by an auditory system that is not optimized for this task. Building on our previous work linking attention to eortful listening and incorporating an active inference approach, we argue that the answers to these questions have implications not just for the study of human audition. They are also significant for the development and broad awareness of hearing aids and cochlear implants, as well as other auditory technologies such as earbuds, immersive auditory environments, and systems for human-machine interaction.
DOI of the first publication: 10.3389/fnins.2025.1534425
URL of the first publication: https://doi.org/10.3389/fnins.2025.1534425
Link to this record: urn:nbn:de:bsz:291--ds-448982
hdl:20.500.11880/39874
http://dx.doi.org/10.22028/D291-44898
ISSN: 1662-4548
Date of registration: 1-Apr-2025
Faculty: M - Medizinische Fakultät
Department: M - Radiologie
Professorship: M - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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