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Speech auditory brainstem responses in adult hearing aid users: Effects of aiding and background noise, and prediction of behavioral measures
Author(s) -
Karolina Kluk,
Ghada BinKhamis,
Antonio Elia Forte,
Tobias Reichenbach,
Martin O’Driscoll
Publication year - 2019
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.5101917
Subject(s) - audiology , quiet , hearing aid , speech perception , stimulus (psychology) , noise (video) , vowel , hearing loss , background noise , psychology , perception , speech recognition , medicine , computer science , telecommunications , cognitive psychology , physics , quantum mechanics , neuroscience , artificial intelligence , image (mathematics)
The aim of the study was to investigate the effect of aiding (hearing aids) and background noise on Auditory Brainstem Responses to short consonant vowel speech (Speech-ABRs), and to assess the predictive value of these responses in adults with a bilateral sensorineural hearing loss. Speech-ABRs evoked by a 40-ms [da] were recorded from 98 adult hearing-aid users via loudspeaker stimulus presentation with and without a hearing aid, in quiet and in 2-talker babble using a two-channel vertical electrode montage. Behavioral speech perception in noise and/or aided self-reported speech understanding were assessed. Aided speech-ABRs had earlier peak latencies, larger peak amplitudes, and larger F0 encoding amplitudes compared to unaided speech-ABRs. Background noise resulted in later F0 encoding latencies but did not have an effect on peak latencies and amplitudes, or on F0 encoding amplitudes. Speech-ABRs were not a significant predictor of any of the behavioral or self-report measures. Speech-ABRs are not a good predictor measure of speech-in-noise performance or self-reported speech understanding with hearing aids. However, they may have potential for clinical application as an objective measure of speech detection with hearing aids. [Work supported by EPSRC EP/M026728/1, Saudi Arabian Ministry of Education, NIHR MBRC.]

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