Zhang Yu, Jiang Jack J
Department of Surgery, Division of Otolaryngology Head and Neck Surgery, University of Wisconsin Medical School, Madison, Wisconsin 53706, USA.
J Voice. 2008 Jan;22(1):1-9. doi: 10.1016/j.jvoice.2006.08.003. Epub 2006 Sep 14.
In this paper, we investigated the acoustic characteristics of sustained and running vowels from normal subjects and patients with laryngeal pathologies. Perturbation methods (including jitter and shimmer), signal-to-noise ratio (SNR), and nonlinear dynamic methods (such as correlation dimension and second-order entropy) were used to analyze sustained and running vowels. We found that the sustained vowels and running voices from normal subjects and patients with laryngeal pathologies had low-dimensional dynamic characteristics. For sustained vowels, the analyses of jitter, shimmer, correlation dimension, and second-order entropy revealed significant differences between normal and pathological voices. For running voices, jitter and shimmer did not statistically discriminate between normal and pathological voices, but a significant difference was found for SNR, correlation dimension, and second-order entropy. The results suggest that nonlinear dynamic analysis and traditional SNR analysis may be valuable for the analysis of sustained and running vowels; perturbation analysis may be applicable for the analysis of sustained vowels but should be applied with caution for running voice analysis.
在本文中，我们研究了正常受试者以及患有喉部疾病的患者发出的持续元音和连续元音的声学特征。采用微扰方法（包括抖动和闪烁）、信噪比（SNR）以及非线性动力学方法（如关联维数和二阶熵）来分析持续元音和连续元音。我们发现，正常受试者以及患有喉部疾病的患者发出的持续元音和连续元音具有低维动力学特征。对于持续元音，抖动、闪烁、关联维数和二阶熵的分析揭示了正常嗓音和病变嗓音之间存在显著差异。对于连续元音，抖动和闪烁在统计学上无法区分正常嗓音和病变嗓音，但在信噪比、关联维数和二阶熵方面发现了显著差异。结果表明，非线性动力学分析和传统的信噪比分析对于持续元音和连续元音的分析可能具有重要价值；微扰分析可能适用于持续元音的分析，但在用于连续元音分析时应谨慎使用。
