Language Science and Technology; Neurophonetics & Clinical Phonetics, Saarland University, Saarbrücken, Germany.
Institute for Natural Language Processing, University of Stuttgart, Stuttgart, Germany.
J Voice. 2023 Jul;37(4):522-528. doi: 10.1016/j.jvoice.2021.03.024. Epub 2021 May 26.
The present study firstly tries to find subgroups of pathological male and female phonation using data from a number of 534 pathological speakers. Secondly, this subgroup classification provides a basis for achieving voice profiles of pathological phonatory quality.
Using complementarily orientated electroglottographic and acoustic parametrization of phonatory quality, sustained vowel productions of 267 male and 267 female speakers were considered.
In a first step, a clustering technique differentiates three subgroups within each gender on the basis of the EGG- and three subgroups on the basis of the acoustic parameters. In a second step, this subgroup definition allows one to present voice profiles of pathological speakers by combining the parameter means of the electroglottographically determined subgroups with those of the acoustically determined subgroups.
The presented voice profiles provide a finer reference basis for the classification of different pathological phonation types as well as for the evaluation of shifts in individual phonatory behavior due to therapy or spontaneous recovery.
本研究首先试图通过对 534 名病理发音者的数据找到病理性男性和女性发音的亚组。其次，这种亚组分类为实现病理性发声质量的语音特征提供了基础。
使用互补的电声门图和发声质量声学参数化，对 267 名男性和 267 名女性发音者的持续元音进行了考虑。
在第一步中，聚类技术基于 EGG 区分了每个性别中的三个亚组，基于声学参数区分了三个亚组。在第二步中，这种亚组定义允许通过将电声门图确定的亚组的参数平均值与声学确定的亚组的参数平均值结合起来，来呈现病理发音者的语音特征。
所呈现的语音特征为不同病理发音类型的分类以及由于治疗或自发恢复而导致的个体发音行为的变化提供了更精细的参考基础。
