Evaluating the Effect of Voice Quality Covariance on Auditory-Perceptual Evaluation Using a Novel Two-Dimensional Magnitude Estimation Task.
Purpose: Most people with dysphonia present with voices that vary along more than one voice quality (VQ) dimension. This study sought to examine the effect of covariance between breathy and rough VQ in natural voices. Method: A two-dimensional matrix of 16 /a/ vowels was selected such that two VQ di...
| Published in: | Journal of Speech, Language & Hearing Research Vol. 66; no. 12; pp. 4849 - 4860 |
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| Main Authors: | , , , |
| Format: | Article |
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American Speech-Language-Hearing Association
Dec2023
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=174209924&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 174209924 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Dec2023 vid: 66 iid: 12 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 174209924 10.1044/2023_JSLHR-23-00226 ppf: 4849 ppct: 11 formats: fmt: @attributes: type: P size: 803KB tig: atl: Evaluating the Effect of Voice Quality Covariance on Auditory-Perceptual Evaluation Using a Novel Two-Dimensional Magnitude Estimation Task. aug: au: Anand, Supraja Yeonggwang Park Shrivastav, Rahul Eddins, David A. affil: Department of Communication Sciences & Disorders, University of South Florida, Tampa Department of Communication Sciences and Disorders, University of Central Florida, Orlando Office of the Provost & Executive Vice President, Indiana University Bloomington su: Judgment (Psychology) Speech perception Physiological aspects of speech Confidence intervals Human voice Speech evaluation Pearson correlation (Statistics) T-test (Statistics) Intraclass correlation Descriptive statistics Data analysis Statistical sampling Voice disorders Algorithms sug: subj: Judgment (Psychology) Marketing Research and Public Opinion Polling Speech perception Physiological aspects of speech Confidence intervals Human voice Speech evaluation Pearson correlation (Statistics) T-test (Statistics) Intraclass correlation Descriptive statistics Data analysis Statistical sampling Voice disorders Algorithms ab: Purpose: Most people with dysphonia present with voices that vary along more than one voice quality (VQ) dimension. This study sought to examine the effect of covariance between breathy and rough VQ in natural voices. Method: A two-dimensional matrix of 16 /a/ vowels was selected such that two VQ dimensions (breathiness and roughness) were sampled on a 4-point severity scale (none, mild, moderate, and severe). Ten listeners evaluated 480 stimuli (16 stimuli x 10 repetitions x 3 blocks) on one-dimensional magnitude estimation (1DME) tasks and a novel two-dimensional magnitude estimation (2DME) task that allowed for simultaneous measurement of breathiness and roughness. Results: Data indicated high intra- and interrater reliabilities for both breathiness and roughness in the 2DME and 1DME tasks. Correlation analyses revealed a strong correlation between 2DME and 1DME judgments for breathiness and roughness (r > .95). There was also a minimal correlation between breathy and rough VQ in the 2DME task (r < .10). Conclusions: Covarying roughness or breathiness had less impact on the perception of the other VQ in natural dysphonic voices in 2DME compared to 1DME. An understanding and quantification of the perceptual interactions among the dimensions will aid in the refinement of computational models and in the establishment of the validity of clinical scales for VQ perception. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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