Collinearity and Sample Coverage Issues in the Objective Measurement of Vocal Quality: The Case of Roughness and Breathiness

Ferrer Riesgo CA, Haderlein T, Maryn Y, de Bodt M, Nöth E (2018)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2018

Journal

Journal of Speech Language and Hearing Research American Speech-Language-Hearing Association

Publisher: American Speech-Language-Hearing Association

Book Volume: 61

Pages Range: 1-24

Journal Issue: 1

DOI: 10.1044/2017_JSLHR-S-17-0136

Abstract

Purpose: The aim of the study was to address the reported inconsistencies in the relationship between objective acoustic measures and perceptual ratings of vocal quality. Method: This tutorial moves away from the more widely examined problems related to obtaining the perceptual ratings and the acoustic measures and centers in less scrutinized issues regarding the procedure to establish the correspondence. Expressions for the most common measure of association between perceptual and acoustic measures (Pearson’s r) are derived using a multiple linear regression model. The particular case where the multiple linear regression involves only roughness and breathiness is discussed to illustrate the issues. Results: Most problems reported regarding inconsistent findings in the relationship between given acoustic measures and particular perceptual ratings could be linked to sample properties not directly related to the actual relationship. The influential sample properties are the collinearity between the regressors in the multiple linear regression and their relative variances. Recommendations on how to rule out this possible cause of inconsistency are given, varying in scope from data collection, reporting, manipulation, and results interpretation. Conclusions: The problems described can be extended to more general cases than the exemplified roughness and breathiness sample’s coverage. Ruling out this possible cause of inconsistency would increase the validity of the results reported.

Authors with CRIS profile

Carlos Ariel Ferrer Riesgo Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME) Tino Haderlein Professur für Informatik (Mustererkennung) Elmar Nöth Professur für Informatik (Mustererkennung)

Involved external institutions

University of Antwerp / Universiteit Antwerpen BE Belgium (BE) Antwerp University Hospital BE Belgium (BE)

How to cite

APA:

Ferrer Riesgo, C.A., Haderlein, T., Maryn, Y., de Bodt, M., & Nöth, E. (2018). Collinearity and Sample Coverage Issues in the Objective Measurement of Vocal Quality: The Case of Roughness and Breathiness. Journal of Speech Language and Hearing Research, 61(1), 1-24. https://doi.org/10.1044/2017_JSLHR-S-17-0136

MLA:

Ferrer Riesgo, Carlos Ariel, et al. "Collinearity and Sample Coverage Issues in the Objective Measurement of Vocal Quality: The Case of Roughness and Breathiness." Journal of Speech Language and Hearing Research 61.1 (2018): 1-24.

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