呼吸的声音
听力学
响度
感知
心理学
评定量表
语音障碍
相关性
比例(比率)
听觉感知
发声
医学
发展心理学
几何学
物理
神经科学
量子力学
数学
作者
Patrick R. Walden,Sydney Rau
出处
期刊:Journal of Speech Language and Hearing Research
[American Speech-Language-Hearing Association]
日期:2022-08-17
卷期号:65 (8): 2759-2777
被引量:1
标识
DOI:10.1044/2022_jslhr-21-00689
摘要
Auditory-perceptual evaluation of dysphonic voice is an essential clinical activity that characterizes the nature of dysphonia and aids in planning its clinical management. Although there are multidimensional acoustic measures that correlate well with overall severity ratings, they tend to include measures that have only small or moderate correlations with individual voice characteristics frequently perceptually measured (e.g., breathiness or roughness). Given this difference between perceptual and acoustic measures, it is unclear how much individual voice characteristics contribute to a listener's perception of overall severity of dysphonia.The purpose of this study was to explore individual voice characteristics' relative contribution to the rating of overall dysphonia severity and to explore sex-related differences.Two hundred ninety-six voice samples were accessed from the Perceptual Voice Qualities Database. Roughness, breathiness, asthenia, strain, pitch, and loudness ratings from the Grade, Roughness, Breathiness, Asthenia, Strain and Consensus Auditory-Perceptual Evaluation of Voice scales were used to predict overall voice quality severity in linear regression with bootstrapped coefficients.Roughness, breathiness, and strain were the strongest predictors of overall severity. Asthenia and, to a lesser extent, pitch were also significant predictors of overall severity. Loudness was not a significant predictor. There were several sex-related differences noted, as well as differences related to the scale used.Breathiness, roughness, and strain were all important predictors of overall severity for all regressions. Clinicians should be aware of scale-related differences if they are using auditory-perceptual measures to choose voice therapy targets. Analyses accounting for perceptual strategy differences were recommended for future studies.
科研通智能强力驱动
Strongly Powered by AbleSci AI