Literature DB >> 33647221

Music Perception and Speech-in-Noise Skills of Typical Hearing and Cochlear Implant Listeners.

Stephanie L Fowler1,2, Hannah Calhoun2, Andrea D Warner-Czyz2,3.   

Abstract

Purpose Adult cochlear implant (CI) users rate music as one of the most important auditory stimuli, second to speech perception. However, few studies simultaneously examine music perception and speech-in-noise perception in adult CI recipients. This study explores the effect of auditory status on music perception and speech-in-noise perception recognition in noise as well as the relationship among music engagement, music perception, and speech-in-noise perception. Method Participants include 10 adults with typical hearing (TH) and 10 adults with long-term CI use. All participants completed the Music-Related Quality of Life Questionnaire, which assesses subjective music experiences and their importance; the Pitch Direction Discrimination, Familiar Melody Recognition, and Timbre Recognition subtests of the Clinical Assessment of Music Perception for Cochlear Implants; the Unfamiliar Melody Recognition subtest of the Profile of Music Perception Skills; and the Bamford-Kowal-Bench Speech-in-Noise Test. Results The TH group significantly outperformed the CI group for speech-in-noise perception and on all four music perception tasks. The CI group exhibited not only significantly poorer mean scores but also greater variability in performance compared to the TH group. Only Familiar Melody Recognition and Unfamiliar Melody Recognition subtests significantly correlated with speech-in-noise scores. Conclusions Patients and professionals should not assume speech perception and music perception in adult CI users derive from the same auditory or cognitive foundations. The lack of significant relationships among music engagement, music perception, and speech-in-noise perception scores in adult CI users suggests this population enjoys music despite poor and variable performance in discrete music tasks.

Entities:  

Year:  2021        PMID: 33647221     DOI: 10.1044/2020_AJA-20-00116

Source DB:  PubMed          Journal:  Am J Audiol        ISSN: 1059-0889            Impact factor:   1.493


  3 in total

1.  Music Score Recognition Method Based on Deep Learning.

Authors:  Qin Lin
Journal:  Comput Intell Neurosci       Date:  2022-07-07

2.  Music perception and speech intelligibility in noise performance by Italian-speaking cochlear implant users.

Authors:  Hilal Dincer D'Alessandro; Patrick J Boyle; Ginevra Portanova; Patrizia Mancini
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-10-01       Impact factor: 2.503

3.  Susceptibility to Postoperative Changes in Music Appreciation in Elderly Cochlear Implant Recipients.

Authors:  Jee-Hye Chung; Min-Kyu Kim; Da Beom Heo; Jong Bin Lee; Jin Woong Choi
Journal:  J Clin Med       Date:  2022-08-27       Impact factor: 4.964

  3 in total

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