Speech disorder analysis using time-varying autoregressive

Author

Arifianto, Dhany ; Sekartedjo

Author_Institution

Dept. of Eng. Phys., Sepuluh Nopember Inst. of Technol., Surabaya, Indonesia

Volume

3

fYear

2004

fDate

25-28 July 2004

Abstract

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.

Keywords

autoregressive processes; correlation methods; distortion; frequency estimation; patient diagnosis; speech processing; autocorrelation method; fundamental frequency distortion; hoarseness classification; speech disorder analysis; speech signal frequency estimation; speech utterance; time varying autoregressive model; vowel utterance; Acoustic distortion; Autocorrelation; Filter bank; Frequency estimation; Pathology; Physics; Power harmonic filters; Signal analysis; Speech analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on

Print_ISBN

0-7803-8346-X

Type

conf

DOI

10.1109/MWSCAS.2004.1354324

Filename

1354324