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Perceptual and Acoustic Analyses of Good Voice Quality in Male Radio Performers
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Music Acoustics.ORCID iD: 0000-0002-3362-7518
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2016 (English)In: Journal of Voice, ISSN 0892-1997, E-ISSN 1873-4588Article in journal (Refereed) Published
Abstract [en]

SummaryObjectives Good voice quality is an asset to professional voice users, including radio performers. We examined whether (1) voices could be reliably categorized as good for the radio and (2) these categories could be predicted using acoustic measures. Participants and Methods Male radio performers (n = 24) and age-matched male controls performed “The Rainbow Passage” as if presenting on the radio. Voice samples were rated using a three-stage paired-comparison paradigm by 51 naive listeners and perceptual categories were identified (Study 1), and then analyzed for fundamental frequency, long-term average spectrum, cepstral peak prominence, and pause or spoken-phrase duration (Study 2). Results Study 1: Good inter-judge reliability was found for perceptual judgments of the best 15 voices (good for radio category, 14/15 = radio performers), but agreement on the remaining 33 voices (unranked category) was poor. Study 2: Discriminant function analyses showed that the SD standard deviation of sounded portion duration, equivalent sound level, and smoothed cepstral peak prominence predicted membership of categories with moderate accuracy (R2 = 0.328). Conclusions Radio performers are heterogeneous for voice quality; good voice quality was judged reliably in only 14 out of 24 radio performers. Current acoustic analyses detected some of the relevant signal properties that were salient in these judgments. More refined perceptual analysis and the use of other perceptual methods might provide more information on the complex nature of judging good voices.

Place, publisher, year, edition, pages
2016.
Keyword [en]
voice, performance, supranormal, broadcaster, perceptual analysis
National Category
Media and Communication Technology
Research subject
Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-192321DOI: 10.1016/j.jvoice.2016.05.016OAI: oai:DiVA.org:kth-192321DiVA: diva2:967653
Available from: 2016-09-09 Created: 2016-09-09 Last updated: 2016-09-09

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Publisher's full texthttp://www.sciencedirect.com/science/article/pii/S0892199716300686

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