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Output details

11 - Computer Science and Informatics

University of Sheffield

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Output 5 of 109 in the submission
Article title

A computer model of auditory efferent suppression: Implications for the recognition of speech in noise

Type
D - Journal article
Title of journal
The Journal of the Acoustical Society of America
Article number
-
Volume number
127
Issue number
2
First page of article
943
ISSN of journal
00014966
Year of publication
2010
URL
-
Number of additional authors
2
Additional information

<22> This is the first computer modeling study to show that the auditory efferent system helps speech intelligibility in background noise by reducing the effects of neural adaptation to the noise. The computer model has directly informed experiments at Purdue University (Prof. Elizabeth Strickland<estrick@purdue.edu>, demonstrating its impact in the field of psychoacoustics. The model provided the basis for a novel hearing aid developed at Essex University, which has been released for public evaluation in the form of an iPhone app (bioaid.org.uk - 12000 downloads to date).

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-