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Bayesian analysis of paired-comparison sound quality ratings
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.
Widex AS, ORCA Europe, Bjorns Tradgardsgrand 1, SE-11621 Stockholm, Sweden..
Widex AS, ORCA Europe, Bjorns Tradgardsgrand 1, SE-11621 Stockholm, Sweden..
2019 (English)In: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524, Vol. 146, no 5, p. 3174-3183Article in journal (Refereed) Published
Abstract [en]

This paper presents a method to analyze paired-comparison data including either binary or graded ordinal responses, with or without ties. The proposed method can use either of two classical choice models: (1) Thurstone case V, which assumes a Gaussian distribution of the sensory variables underlying listener decisions, or (2) the Bradley-Terry-Luce (BTL) model, which assumes a logistic distribution. The analysis method was validated using simulated paired-comparison experiments with known distributions of the sound-quality parameters in the simulated population from which "participants" were generated at random. The validation indicated that the Thurstone and BTL models give similar results close to the true values. The estimated credibility of a quality difference was slightly higher with the BTL model. The analysis results showed dramatically better precision when the response data included graded ordinal judgments instead of binary responses. Allowing tied responses also tended to improve precision. The method was also applied to data from a real evaluation of hearing-aid programs. The analysis revealed clinically interesting results with high statistical credibility, although the amount of test data was limited.

Place, publisher, year, edition, pages
ACOUSTICAL SOC AMER AMER INST PHYSICS , 2019. Vol. 146, no 5, p. 3174-3183
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-269043DOI: 10.1121/1.5131024ISI: 000510232400014PubMedID: 31795670Scopus ID: 2-s2.0-85075005249OAI: oai:DiVA.org:kth-269043DiVA, id: diva2:1413761
Note

QC 20200311

Available from: 2020-03-11 Created: 2020-03-11 Last updated: 2020-03-11Bibliographically approved

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Leijon, Arne

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