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Measurements to determine the ranking accuracy of perceptual models

Pearce, A, Brookes, TS, Mason, R and Dewhirst, M (2016) Measurements to determine the ranking accuracy of perceptual models In: 140th Convention of the Audio Engineering Society, 2016-06-04 - 2016-06-07, Paris, France.

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Abstract

Linear regression is commonly used in the audio industry to create objective measurement models that predict subjective data. For any model development, the measure used to evaluate the accuracy of the prediction is important. The most common measures assume a linear relationship between the subjective data and the prediction, though in the early stages of model development this is not always the case. Measures based on rank ordering (such as Spearman’s test), can alternatively be used. Spearman’s test, however, does not consider the variance of the subjective data. This paper presents a method of incorporating the subjective variance into the Spearman’s rank ordering test using Monte Carlo simulations, and shows how this can be beneficial in the development of predictive models.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Audio
Divisions : Faculty of Arts and Social Sciences > School of Arts > Music
Authors :
AuthorsEmailORCID
Pearce, AUNSPECIFIEDUNSPECIFIED
Brookes, TSUNSPECIFIEDUNSPECIFIED
Mason, RUNSPECIFIEDUNSPECIFIED
Dewhirst, MUNSPECIFIEDUNSPECIFIED
Date : 2016
Copyright Disclaimer : Copyright 2016 Audio Engineering Society. This paper was presented at the 140th Convention of the Audio Engineering Society, as paper number 9515. The full published version can be found at http://www.aes.org/e-lib/online/search.cfm
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDAudio Engineering Society, UNSPECIFIEDUNSPECIFIED
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 03 Aug 2016 08:48
Last Modified : 26 Nov 2016 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/811594

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