Abstract
We investigate vocal fold vibrations in patients with muscle tension dysphonia (MTD) and Parkinson’s diseases (PD) using a refined two mass model [I. Steinecke and H. Herzel, J. Acoust. Soc. Am. 97(3), 1874–1884 (1995)] and clinical data obtained from acoustic recordings and high-speed digital imaging (HSDI) of the larynx. The two-mass model with empirical parameters is able to reproduce some of the behaviors revealed from functional, image-based analyses of vocal fold dynamics in both normal and abnormal states. In particular, the glottal area waveform (GAW) is used to describe the vocal fold vibratory behavior, which is derived from HSDI data using an analytical framework developed by the Yan research group [Yan et al., J. Voice 19(2), 161–175 (2005); IEEE Trans. Biomed. Eng., (2006)]. Further, a comparison of the two-mass model predictions and the GAW and acoustic data was performed using signal processing techniques including fast fourier transforms, wavelet transforms, and spectrograms. These analyses deliver a comprehensive quantitative representation of the dynamic characteristics of the vocal folds and may provide new insights into the mechanism of abnormal voice productions such as in MTD and PD. [Research is sponsored by NSF Grant ♯0627992.]
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