Speech disorder analysis using time-varying autoregressive

Dhany Arifianto*, Heru Setijono, Sekartedjo

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)III191-III194
JournalMidwest Symposium on Circuits and Systems
Publication statusPublished - 2004
EventThe 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan
Duration: 25 Jul 200428 Jul 2004


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