Yıl 2018, Cilt 6, Sayı 3, Sayfalar 97 - 103 2018-09-30

Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines
Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines

Derya YILMAZ [1] , Haydar ANKIŞHAN [2]

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The voice disorders occurring due to the problems in the voice producing organs cause some changes in the intensity or tone of the voice. It is difficult to identify the diseased voice by the reason of its variable and different nature. One of the most popular voice disorder reasons is cyst which is located on the vocal cords. The aim of this study is to detect the vocal cyst problem by using acoustic voices data which were recorded from healthy people and patient with cyst diagnoses subjects by using high order statistics and support vector machines (SVMs) classifier. In this study, two experimental procedures were implemented for two different voice samples. In the first, /a/ vowel and the second, the Turkish word of “aydınlık” (mean in English “bright”) were investigated with skewness and kurtosis parameters which are third and fourth order cumulants (spectral moments), respectively. The obtained features values for healthy and cyst subjects were used as the SVMs’ inputs for classification. The experimental results show that the test accuracies of SVMs were found as 94.89% and 91.11% for /a/ vowel and “aydınlık” word, respectively. It is concluded from experimental studies that skewness provides more meaningful results than kurtosis in relation to distinguish into two voice groups as healthy and cyst. Additionally, it is assessed that the “aydınlık” is affective word for the pathological and normal acoustic voice discrimination as good as /a/vowel.

The voice disorders occurring due to the problems in the voice producing organs cause some changes in the intensity or tone of the voice. It is difficult to identify the diseased voice by the reason of its variable and different nature. One of the most popular voice disorder reasons is cyst which is located on the vocal cords. The aim of this study is to detect the vocal cyst problem by using acoustic voices data which were recorded from healthy people and patient with cyst diagnoses subjects by using high order statistics and support vector machines (SVMs) classifier. In this study, two experimental procedures were implemented for two different voice samples. In the first, /a/ vowel and the second, the Turkish word of “aydınlık” (mean in English “bright”) were investigated with skewness and kurtosis parameters which are third and fourth order cumulants (spectral moments), respectively. The obtained features values for healthy and cyst subjects were used as the SVMs’ inputs for classification. The experimental results show that the test accuracies of SVMs were found as 94.89% and 91.11% for /a/ vowel and “aydınlık” word, respectively. It is concluded from experimental studies that skewness provides more meaningful results than kurtosis in relation to distinguish into two voice groups as healthy and cyst. Additionally, it is assessed that the “aydınlık” is affective word for the pathological and normal acoustic voice discrimination as good as /a/vowel.

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Yazarlar

Yazar: Derya YILMAZ (Sorumlu Yazar)
Kurum: BAŞKENT ÜNİVERSİTESİ
Ülke: Turkey


Yazar: Haydar ANKIŞHAN
Kurum: BAŞKENT ÜNİVERSİTESİ
Ülke: Turkey


Bibtex @araştırma makalesi { apjes380271, journal = {Akademik Platform Mühendislik ve Fen Bilimleri Dergisi}, issn = {}, eissn = {2147-4575}, address = {Akademik Platform}, year = {2018}, volume = {6}, pages = {97 - 103}, doi = {10.21541/apjes.380271}, title = {Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines}, key = {cite}, author = {ANKIŞHAN, Haydar and YILMAZ, Derya} }
APA YILMAZ, D , ANKIŞHAN, H . (2018). Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines. Akademik Platform Mühendislik ve Fen Bilimleri Dergisi, 6 (3), 97-103. DOI: 10.21541/apjes.380271
MLA YILMAZ, D , ANKIŞHAN, H . "Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines". Akademik Platform Mühendislik ve Fen Bilimleri Dergisi 6 (2018): 97-103 <http://dergipark.gov.tr/apjes/issue/38780/380271>
Chicago YILMAZ, D , ANKIŞHAN, H . "Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines". Akademik Platform Mühendislik ve Fen Bilimleri Dergisi 6 (2018): 97-103
RIS TY - JOUR T1 - Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines AU - Derya YILMAZ , Haydar ANKIŞHAN Y1 - 2018 PY - 2018 N1 - doi: 10.21541/apjes.380271 DO - 10.21541/apjes.380271 T2 - Akademik Platform Mühendislik ve Fen Bilimleri Dergisi JF - Journal JO - JOR SP - 97 EP - 103 VL - 6 IS - 3 SN - -2147-4575 M3 - doi: 10.21541/apjes.380271 UR - http://dx.doi.org/10.21541/apjes.380271 Y2 - 2018 ER -
EndNote %0 Akademik Platform Mühendislik ve Fen Bilimleri Dergisi Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines %A Derya YILMAZ , Haydar ANKIŞHAN %T Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines %D 2018 %J Akademik Platform Mühendislik ve Fen Bilimleri Dergisi %P -2147-4575 %V 6 %N 3 %R doi: 10.21541/apjes.380271 %U 10.21541/apjes.380271
ISNAD YILMAZ, Derya , ANKIŞHAN, Haydar . "Detection of Vocal Cyst Problem by Using High Order Moments and Support Vector Machines". Akademik Platform Mühendislik ve Fen Bilimleri Dergisi 6 / 3 (Eylül 2018): 97-103. http://dx.doi.org/10.21541/apjes.380271