ORIGINAL ARTICLE
RELATIONSHIP BETWEEN SELF-RATED MUSICAL COMPETENCE AND AUDITORY PROCESSING IN INSTRUMENTALISTS
Yoshita Sharma 1, B,E-F
,
 
Harshada Mali 1, B,E-F
,
 
 
 
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1
Audiology, All India Institute of Speech and Hearing, Mysore, India
 
 
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article;
 
 
Submission date: 2023-05-25
 
 
Final revision date: 2024-03-10
 
 
Acceptance date: 2024-03-11
 
 
Online publication date: 2024-06-05
 
 
Publication date: 2024-06-05
 
 
Corresponding author
Nisha Venkateswaran Kavassery   

Audiology, All India Institute of Speech and Hearing, Manasagangothri, 570006, Mysore, India
 
 
J Hear Sci 2024;14(1):35-39
 
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Although the benefits of musical training have been shown to affect a number of auditory processes, the question of how self-rated musical competence correlates with auditory perception remains largely unexplored. The present study aimed to investigate how self-perceived musical competence correlates with musicians’ ratings of their own abilities in speech perception, spatial hearing, and sound qualities.

Material and methods:
The Edinburgh Lifetime Musical Experience Questionnaire (ELMEQ) was administered on 57 instrumentalists aged 19 to 53 years (mean = 25.1 ± 4.9 years, 34 males and 23 females). All had normal hearing and had undergone formal training on musical instruments for 1–2 years. All of them also regularly practised music for at least 1–2 h/week. Based on their ELMEQ scores, they were divided into two groups: low (ELMEQ score ≤ 7; n = 12) and high (ELMEQ score ≥ 11; n = 16; self-perceived musical competence. Participants were sent a modified questionnaire from the Speech, Spatial and Qualities of Hearing Scale (SSQ) using Google forms, and the data statistically analysed.

Results:
A Mann–Whitney U-test showed that participants with high self-rated musical competence had significantly higher ratings on the spatial hearing and sound qualities sub-domains of SSQ compared to their counterparts who had lower ELMEQ scores. However, both groups scored about the same on the speech perception domain of SSQ. A Spearman test revealed a moderate to strong positive correlation between self-rated musical competence and SSQ ratings in each domain.

Conclusions:
The findings show that instrumentalists with high self-rated musical competence exhibited high proficiency in the spatial hearing and sound quality domains of auditory processing.

REFERENCES (22)
1.
Swaminathan J, Mason CR, Streeter TM, Best V, Kidd JG, Patel AD. Musical training, individual differences and the cocktail party problem. Sci Rep, 2015; 5(1): 11628. https://doi.org/10.1038/srep11....
 
2.
Depp CA, Jeste DV. Definitions and predictors of successful aging: a comprehensive review of larger quantitative studies. Am J Geriatr Psychiatry, 2006; 14(1): 6–20. https://doi.org/10.1097/01.jgp....
 
3.
Rowe JW, Kahn RL. Successful aging. Gerontologist, 1997; 37(4): 433–40. https://doi.org/10.1093/geront....
 
4.
Bhoomika, Nisha KV. Effects of musical training on auditory spatial processing abilities: a psychoacoustical and perceptual study. In: Advances in Speech and Music Technology. Proceedings of FRSM 2020. Biswas A, Wennekes E, Hong T-P, Wieczorkowska A, editors. Springer; 2021, p. 261–73. https://doi.org/10.1007/978-98....
 
5.
Nisha KV, Durai R, Konadath S. Musical training and its association with age-related changes in binaural, temporal, and spatial processing. Am J Audiol, 2022; 31(3): 669–83. https://doi.org/10.1044/2022_A....
 
6.
Bidelman GM, Nelms C, Bhagat SP. Musical experience sharpens human cochlear tuning. Hear Res, 2016; 335: 40–6. https://doi.org/10.1016/j.hear....
 
7.
Micheyl C, Delhommeau K, Perrot X, Oxenham AJ. Influence of musical and psychoacoustical training on pitch discrimination. Hear Res, 2006; 219(1–2): 36–47. https://doi.org/10.1016/j.hear....
 
8.
Yun EWT, Nguyen DD, Carding P, Hodges NJ, Chacon AM, Madill C. The relationship between pitch discrimination and acoustic voice measures in a cohort of female speakers. J Voice, 2022. https://doi.org/10.1016/j.jvoi....
 
9.
Luiz C, Gil D, de Camargo N, Miguel J. Auditory abilities in individual with and without formal musical training. J Hear Sci, 2021; 11(3): 27–31. https://doi.org/10.17430/jhs.2....
 
10.
Caprini F, Zhao S, Chait M, Agus T, Pomper U, Tierney A, et al. Generalization of auditory expertise in audio engineers and instrumental musicians. Cognition, 2024; 105696. https://doi.org/10.1016/j.cogn....
 
11.
Paoliello KBG, Pereira LD, Behlau M. Voice quality and auditory processing in subjects with and without musical experience. J Voice, 2021; 35(1): 9–17. https://doi.org/10.1016/j.jvoi....
 
12.
Elangovan S, Payne N, Smurzynski J, Fagelson M. Musical training influences auditory temporal processing. J Hear Sci, 2016; 6(3): 36–44. https://doi.org/10.17430/90191....
 
13.
Sanju H, Nikhil J, Kumar P. Effect of carnatic vocal music training and experience on cortical auditory evoked potentials. J Hear Sci, 2016; 6(1): 40–7. https://doi.org/10.17430/89568....
 
14.
SSQ 5.6 available at https://www.umassmemorialhealt.... [Accessed 21.03.2024].
 
15.
Ollen JE. A criterion-related validity test of selected indicators of musical sophistication using expert ratings [Doctoral dissertation]. Ohio State University. Available from: http://rave.ohiolink.edu/etdc/... [Accessed 20.02.2024].
 
16.
Chin T, Rickard NS. The Music USE (MUSE) Questionnaire: an instrument to measure engagement in music. Music Percept, 2012; 29(4): 429–46. https://doi.org/10.1525/mp.201....
 
17.
Chin TC, Coutinho E, Scherer KR, Rickard NS. MUSEBAQ: a modular tool for music research to assess musicianship, musical capacity, music preferences, and motivations for music use. Music Percept, 2018; 35(3): 376–99. https://doi.org/10.1525/mp.201....
 
18.
Okely JA, Deary IJ, Overy K. The Edinburgh Lifetime Musical Experience Questionnaire (ELMEQ): responses and non-musical correlates in the Lothian birth cohort 1936. PLoS One, 2021; 16(7): e0254176. https://doi.org/10.1371/journa....
 
19.
Zelenak MS. Development and validation of the Music Performance Self-Efficacy Scale. Music Educ Res Int, 2010; 4: 31–43. http://cmer.arts.usf.edu/conte....
 
20.
Hennessy S, Mack WJ, Habibi A. Speech‐in‐noise perception in musicians and non‐musicians: a multi‐level meta-analysis. Hear Res, 2022; 416: 108442. https://doi.org/10.1016/j.hear....
 
21.
Zendel BR, Alain C. The influence of lifelong musicianship on neurophysiological measures of concurrent sound segregation. J Cogn Neurosci, 2013; 25(4): 503–16. https://doi.org/10.1162/jocn_a....
 
22.
Johnson N, Shiju AM, Parmar A, Prabhu P. Evaluation of auditory stream segregation in musicians and nonmusicians. Int Arch Otorhinolaryngol, 2021; 25(1): e77–80. http://doi.org/10.1055/s-0040-....
 
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