Article

Auditory discrimination and identification of time of day for natural soundscapes

2025-09-02

Abstract excerpt

<h4>ABSTRACT</h4> Following research on the auditory discrimination of natural soundscapes by human listeners [Apoux, Miller-Viacava, Ferrière, Dai, Krause, Sueur and Lorenzi (2023). J. Acoust. Soc. Am. 153, 2706], the present study assessed the ability of normal-hearing listeners to identify and/or discriminate the time of day (Dawn, Midday, Dusk, and Night) for soundscapes recorded in temperate and tropical for...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 25c9df47-6f47-5c9a-81ad-b9f866d4899e
DOI: 10.1101/2025.08.28.672935

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Auditory discrimination and identification of time of day for natural soundscapesDOI 10.1101/2025.08.28.672935Read

The aesthetic preference for nature sounds depends on sound object recognitionSemantic proximity Read

Smell what you hardly see: Odors assist categorization in the human visual cortexSemantic proximity Read

Are multi-element combinations of natural soundscapes better for psychophysiological restoration than single-element natural soundscapes? --Evidence from a study in Zhangjiajie National Forest ParkSemantic proximity Read

Olfactory perception of chemically diverse moleculesSemantic proximity Read

Does Temporal Predictability Enhance Auditory Temporal Resolution? Behavioral Results from a Gap Detection ParadigmSemantic proximity Read

Diurnal fluctuations in musical preferenceSemantic proximity Read

Beat Perception in Polyrhythms: Time is Structured in Binary UnitsSemantic proximity Read

Context-dependent acoustic dimensions underlying voice discrimination: Evidence from interpretable machine learning modeling of human perceptionSemantic proximity Read

Context-dependent acoustic dimensions underlying voice discrimination: Evidence from interpretable machine learning modeling of human perceptionSemantic proximity Read

Olfactory Attribution Circle (OAC): Designing Crossmodal Congruence Between Scent, Color, and LanguageSemantic proximity Read

Exploring Auditory Category Distinctions in Perception and ImagerySemantic proximity Read

Combining machine learning and a universal acoustic feature-set yields efficient automated monitoring of ecosystemsSemantic proximity Read