Speech disorder analysis using time-varying autoregressive

In this paper, perceivable hoarseness classification of uttered speech is presented to determine degree of severity. Fundamental frequency of speech signal is estimated by using instantaneous frequency based and autocorrelation method. Degree of severity of the patients, in particular who are suffered from vocal nodule, are classified by observing the fundamental frequency distortion and aperiodicity of sustain vowel utterance. To add more information, we also observe behavior of the coefficient of autoregressive model with respect to time and frequency.