Comparison of speech parameterization techniques for the classification of speech disfluencies
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Scientific and Technical Research Council of Turkey
2014
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my.unimap-330962014-03-25T01:40:30Z Comparison of speech parameterization techniques for the classification of speech disfluencies Chong, Yen Fook Hariharan, Muthusamy, Dr. Lim, Sin Chee Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Dr. fook1987@gmail.com hari@unimap.edu.my sclim3@gmail.com s.yaacob@unimap.edu.my abdhamid@unimap.edu.my Disfluent speech Linear predictive coding Mel-frequency cepstral coefficient Perceptual linear predictive analysis Support vector machine Link to publisher's homepage at http://www.tubitak.gov.tr/ Stuttering assessment through the manual classification of speech disfluencies is subjective, inconsistent, time-consuming, and prone to error. The aim of this paper is to compare the effectiveness of the 3 speech feature extraction methods, mel-frequency cepstral coefficients, linear predictive coding (LPC)-based cepstral parameters, and perceptual linear predictive (PLP) analysis, for classifying 2 types of speech disfluencies, repetition and prolongation, from recorded disfluent speech samples. Three different classifiers, the k-nearest neighbor classifier, linear discriminant analysis-based classifier, and support vector machine, are employed for the classification of speech disfluencies. Speech samples are taken from the University College London Archive of Stuttered Speech and stuttered events are identified through manual segmentation. A 10-fold cross-validation method is used for testing the reliability of the classifier results. The effect of the 2 parameters (LPC order and frame length) in the LPC- and PLP-based methods on the classification results is also investigated. The experimental results reveal that the proposed method can be used to help speech language pathologists in classifying speech disfluencies. 2014-03-25T01:40:30Z 2014-03-25T01:40:30Z 2013-12 Article Turkish Journal of Electrical Engineering and Computer Sciences, vol. 21(SUPPL. 1), 2013, pages 1983-1994 1300-0632 http://mistug.tubitak.gov.tr/bdyim/toc.php?dergi=elk&yilsayi=2013/Sup.1 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33096 en Scientific and Technical Research Council of Turkey |
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Disfluent speech Linear predictive coding Mel-frequency cepstral coefficient Perceptual linear predictive analysis Support vector machine |
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Disfluent speech Linear predictive coding Mel-frequency cepstral coefficient Perceptual linear predictive analysis Support vector machine Chong, Yen Fook Hariharan, Muthusamy, Dr. Lim, Sin Chee Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Dr. Comparison of speech parameterization techniques for the classification of speech disfluencies |
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Link to publisher's homepage at http://www.tubitak.gov.tr/ |
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fook1987@gmail.com |
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fook1987@gmail.com Chong, Yen Fook Hariharan, Muthusamy, Dr. Lim, Sin Chee Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Dr. |
| format |
Article |
| author |
Chong, Yen Fook Hariharan, Muthusamy, Dr. Lim, Sin Chee Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Dr. |
| author_sort |
Chong, Yen Fook |
| title |
Comparison of speech parameterization techniques for the classification of speech disfluencies |
| title_short |
Comparison of speech parameterization techniques for the classification of speech disfluencies |
| title_full |
Comparison of speech parameterization techniques for the classification of speech disfluencies |
| title_fullStr |
Comparison of speech parameterization techniques for the classification of speech disfluencies |
| title_full_unstemmed |
Comparison of speech parameterization techniques for the classification of speech disfluencies |
| title_sort |
comparison of speech parameterization techniques for the classification of speech disfluencies |
| publisher |
Scientific and Technical Research Council of Turkey |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/33096 |
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1643797066324901888 |