Sounds in the natural environment need to be assigned to acoustic sources to evaluate complex auditory scenes. Separating sources will affect the analysis of auditory features of sounds. As the benefits of assigning sounds to specific sources accrue to all species communicating acoustically, the ability for auditory scene analysis is widespread among different animals. Animal studies allow for a deeper insight into the neuronal mechanisms underlying auditory scene analysis. Here, we will review the paradigms applied in the study of auditory scene analysis and streaming of sequential sounds in animal models. We will compare the psychophysical results from the animal studies to the evidence obtained in human psychophysics of auditory streaming, i.e. in a task commonly used for measuring the capability for auditory scene analysis. Furthermore, the neuronal correlates of auditory streaming will be reviewed in different animal models and the observations of the neurons' response measures will be related to perception. The across-species comparison will reveal whether similar demands in the analysis of acoustic scenes have resulted in similar perceptual and neuronal processing mechanisms in the wide range of species being capable of auditory scene analysis.This article is part of the themed issue 'Auditory and visual scene analysis'.
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http://dx.doi.org/10.1098/rstb.2016.0112 | DOI Listing |
Sci Rep
January 2025
Department of Psychology, New York University, New York, NY, USA.
Music can evoke powerful emotions in listeners. However, the role that instrumental music (music without any vocal part) plays in conveying extra-musical meaning, above and beyond emotions, is still a debated question. We conducted a study wherein participants (N = 121) listened to twenty 15-second-long excerpts of polyphonic instrumental soundtrack music and reported (i) perceived emotions (e.
View Article and Find Full Text PDFCogn Affect Behav Neurosci
January 2025
Aix Marseille Univ, Inserm, INS, Inst Neurosci Syst, Marseille, France.
Focusing on a single source within a complex auditory scene is challenging. M/EEG-based auditory attention detection (AAD) allows to detect which stream an individual is attending to within a set of multiple concurrent streams. The high interindividual variability in the auditory attention detection performance often is attributed to physiological factors and signal-to-noise ratio of neural data.
View Article and Find Full Text PDFJASA Express Lett
January 2025
STMS, IRCAM, Sorbonne Université, CNRS, Ministère de la Culture, 75004 Paris,
This study addresses how salience shapes the perceptual organization of an auditory scene. A psychophysical task that was introduced previously by Susini, Jiaouan, Brunet, Houix, and Ponsot [(2020). Sci.
View Article and Find Full Text PDFPLoS One
January 2025
Dept. of Medical Physics and Acoustics, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
Music pre-processing methods are currently becoming a recognized area of research with the goal of making music more accessible to listeners with a hearing impairment. Our previous study showed that hearing-impaired listeners preferred spectrally manipulated multi-track mixes. Nevertheless, the acoustical basis of mixing for hearing-impaired listeners remains poorly understood.
View Article and Find Full Text PDFFront Hum Neurosci
November 2024
Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan.
Introduction: The ASME (stands for Auditory Stream segregation Multiclass ERP) paradigm is proposed and used for an auditory brain-computer interface (BCI). In this paradigm, a sequence of sounds that are perceived as multiple auditory streams are presented simultaneously, and each stream is an oddball sequence. The users are requested to focus selectively on deviant stimuli in one of the streams, and the target of the user attention is detected by decoding event-related potentials (ERPs).
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