Speech disorder analysis using time-varying autoregressive

Dhany Arifianto; Heru Setijono; Sekartedjo

Speech disorder analysis using time-varying autoregressive

Dhany Arifianto^*, Heru Setijono, Sekartedjo

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	III191-III194
Journal	Midwest Symposium on Circuits and Systems
Volume	3
Publication status	Published - 2004
Event	The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan Duration: 25 Jul 2004 → 28 Jul 2004

Cite this

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title = "Speech disorder analysis using time-varying autoregressive",

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.",

author = "Dhany Arifianto and Heru Setijono and Sekartedjo",

year = "2004",

language = "English",

volume = "3",

pages = "III191--III194",

journal = "Midwest Symposium on Circuits and Systems",

issn = "1548-3746",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings ; Conference date: 25-07-2004 Through 28-07-2004",

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T1 - Speech disorder analysis using time-varying autoregressive

AU - Arifianto, Dhany

AU - Setijono, Heru

AU - Sekartedjo,

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=11144293608&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:11144293608

SN - 1548-3746

VL - 3

SP - III191-III194

JO - Midwest Symposium on Circuits and Systems

JF - Midwest Symposium on Circuits and Systems

T2 - The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings

Y2 - 25 July 2004 through 28 July 2004

ER -

Speech disorder analysis using time-varying autoregressive

Abstract

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