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doi:10.22028/D291-44898
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Titel: | Understanding speech in "noise" or free energy minimization in the soundscapes of the anthropocene |
VerfasserIn: | Strauss, Daniel J. ![]() Francis, Alexander L. Schäfer, Zeinab Latzel, Matthias Corona-Strauss, Farah I. Launer, Stefan |
Sprache: | Englisch |
In: | |
Titel: | Frontiers in Neuroscience |
Bandnummer: | 19 |
Verlag/Plattform: | Frontiers |
Erscheinungsjahr: | 2025 |
Freie Schlagwörter: | hearing evolution noise free energy principle attention listening effort speech |
DDC-Sachgruppe: | 610 Medizin, Gesundheit |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
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 der Erstveröffentlichung: | 10.3389/fnins.2025.1534425 |
URL der Erstveröffentlichung: | https://doi.org/10.3389/fnins.2025.1534425 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-448982 hdl:20.500.11880/39874 http://dx.doi.org/10.22028/D291-44898 |
ISSN: | 1662-4548 |
Datum des Eintrags: | 1-Apr-2025 |
Fakultät: | M - Medizinische Fakultät |
Fachrichtung: | M - Radiologie |
Professur: | M - Keiner Professur zugeordnet |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons