Noise helps cochlear implant listeners to categorize vowels
Author(s) -
Robert P. Morse,
Stephen D. Holmes,
Richard Irving,
David McAlpine
Publication year - 2022
Publication title -
jasa express letters
Language(s) - English
Resource type - Journals
ISSN - 2691-1191
DOI - 10.1121/10.0010071
Subject(s) - cochlear implant , categorization , noise (video) , formant , speech recognition , vowel , computer science , facilitation , acoustics , audiology , psychology , artificial intelligence , medicine , physics , neuroscience , image (mathematics)
Theoretical studies demonstrate that controlled addition of noise can enhance the amount of information transmitted by a cochlear implant (CI). The present study is a proof-of-principle for whether stochastic facilitation can improve the ability of CI users to categorize speech sounds. Analogue vowels were presented to CI users through a single electrode with independent noise on multiple electrodes. Noise improved vowel categorization, particularly in terms of an increase in information conveyed by the first and second formant. Noise, however, did not significantly improve vowel recognition: the miscategorizations were just more consistent, giving the potential to improve with experience.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom