We present here development and application of new approaches for quantitative spatio-temporal analyses of vocal fold
(VF) vibrations derived from high-speed digital imaging (HSDI) data of the glottis. We develop image processing
methods to track the motion of the VF and target the analysis of HSDI-derived glottal area waveform (GAW), glottal
width function (GWF) and displacements of the VF tissues for the characterization of the VF dynamic properties. In
particular, a combined threshold and region growing method is used for the glottis segmentation, and an analytic signal
approach and the Nyquist plot and associated parameters are used to represent and to characterize the VF vibratory
behaviors in normal and specific pathologic voice productions.