Evaluation of laryngeal dysfunction based on features of an accurate estimate of the glottal waveform

A new digital signal processing technique has been developed for the evaluation of laryngeal function based on features extracted from an accurate estimate of the glottal volume velocity waveform. Analysis of a preliminary group of pathologic and normal subjects indicates that the resulting features can be used to effectively classify voice samples into normal and abnormal types. In addition, analysis of cases in the space of features indicates potential for differential diagnosis of disease or, at least, indication of severity of the dysfunction.