audio quality evaluation hearing aids hearing loss music perception

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2024
Historique:
received: 09 10 2023
accepted: 09 02 2024
medline: 7 3 2024
pubmed: 7 3 2024
entrez: 7 3 2024
Statut: epublish

Résumé

Previous work on audio quality evaluation has demonstrated a developing convergence of the key perceptual attributes underlying judgments of quality, such as timbral, spatial and technical attributes. However, across existing research there remains a limited understanding of the crucial perceptual attributes that inform audio quality evaluation for people with hearing loss, and those who use hearing aids. This is especially the case with music, given the unique problems it presents in contrast to human speech. This paper presents a sensory evaluation study utilising descriptive analysis methods, in which a panel of hearing aid users collaborated, through consensus, to identify the most important perceptual attributes of music audio quality and developed a series of rating scales for future listening tests. Participants ( Findings show that there were seven key perceptual dimensions underlying music audio quality ( We outline how these perceptual attributes align with extant literature, how attribute rating instruments might be used in future work, and the importance of better understanding the music listening difficulties of people with varied profiles of hearing loss.

Identifiants

pubmed: 38449751
doi: 10.3389/fpsyg.2024.1310176
pmc: PMC10916511
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1310176

Informations de copyright

Copyright © 2024 Bannister, Greasley, Cox, Akeroyd, Barker, Fazenda, Firth, Graetzer, Roa Dabike, Vos and Whitmer.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Scott Bannister (S)

School of Music, University of Leeds, Leeds, United Kingdom.

Alinka E Greasley (AE)

School of Music, University of Leeds, Leeds, United Kingdom.

Trevor J Cox (TJ)

Acoustics Research Centre, University of Salford, Salford, United Kingdom.

Michael A Akeroyd (MA)

School of Medicine, University of Nottingham, Nottingham, United Kingdom.

Jon Barker (J)

Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.

Bruno Fazenda (B)

Acoustics Research Centre, University of Salford, Salford, United Kingdom.

Jennifer Firth (J)

School of Medicine, University of Nottingham, Nottingham, United Kingdom.

Simone N Graetzer (SN)

Acoustics Research Centre, University of Salford, Salford, United Kingdom.

Gerardo Roa Dabike (G)

Acoustics Research Centre, University of Salford, Salford, United Kingdom.

Rebecca R Vos (RR)

Acoustics Research Centre, University of Salford, Salford, United Kingdom.

William M Whitmer (WM)

School of Medicine, University of Nottingham, Nottingham, United Kingdom.

Classifications MeSH