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Decoding of Envelope vs. Fundamental Frequency During Complex Auditory Stream Segregation.

Authors :
Greenlaw KM
Puschmann S
Coffey EBJ
Source :
Neurobiology of language (Cambridge, Mass.) [Neurobiol Lang (Camb)] 2020 Jul 01; Vol. 1 (3), pp. 268-287. Date of Electronic Publication: 2020 Jul 01 (Print Publication: 2020).
Publication Year :
2020

Abstract

Hearing-in-noise perception is a challenging task that is critical to human function, but how the brain accomplishes it is not well understood. A candidate mechanism proposes that the neural representation of an attended auditory stream is enhanced relative to background sound via a combination of bottom-up and top-down mechanisms. To date, few studies have compared neural representation and its task-related enhancement across frequency bands that carry different auditory information, such as a sound's amplitude envelope (i.e., syllabic rate or rhythm; 1-9 Hz), and the fundamental frequency of periodic stimuli (i.e., pitch; >40 Hz). Furthermore, hearing-in-noise in the real world is frequently both messier and richer than the majority of tasks used in its study. In the present study, we use continuous sound excerpts that simultaneously offer predictive, visual, and spatial cues to help listeners separate the target from four acoustically similar simultaneously presented sound streams. We show that while both lower and higher frequency information about the entire sound stream is represented in the brain's response, the to-be-attended sound stream is strongly enhanced only in the slower, lower frequency sound representations. These results are consistent with the hypothesis that attended sound representations are strengthened progressively at higher level, later processing stages, and that the interaction of multiple brain systems can aid in this process. Our findings contribute to our understanding of auditory stream separation in difficult, naturalistic listening conditions and demonstrate that pitch and envelope information can be decoded from single-channel EEG data.<br />Competing Interests: Competing Interests: The authors have declared that no competing interests exist.<br /> (© 2020 Massachusetts Institute of Technology.)

Details

Language :
English
ISSN :
2641-4368
Volume :
1
Issue :
3
Database :
MEDLINE
Journal :
Neurobiology of language (Cambridge, Mass.)
Publication Type :
Academic Journal
Accession number :
37215227
Full Text :
https://doi.org/10.1162/nol_a_00013