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Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice
Abstract <p>In this paper identification of l<p>In this paper identification of laryngeal disorders using cepstral parameters of human voice is investigated. Mel-frequency cepstral coefficients (MFCC), extracted from audio recordings, are further approximated, using 3 strategies: sampling, averaging, and estimation. SVM and LS-SVM categorize pre-processed data into normal, nodular, and diffuse classes. Since it is a three-class problem, various combination schemes are explored.  Constructed custom kernels outperformed a popular non-linear RBF kernel. Features, estimated with GMM, and SVM kernels, designed to exploit this information, is an interesting fusion of probabilistic and discriminative models for human voice-based classification of larynx pathology.</p>ssification of larynx pathology.</p>
Author Evaldas Vaiciukynas + , Adas Gelzinis + , Marija Bacauskiene + , Antanas Verikas + , Aurelija Vegiene +
Conference The 5th International Conference on Electrical and Control Technologies 6-7 May 2010, Kaunas, Lithuania
Diva http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:352842
EndPage 72  +
HostPublication Proceedings of the 5th International Conference on Electrical and Control Technologies ECT-2010, May 6-7, 2010, Kaunas, Lithuania  +
PublicationType Conference Paper  +
Publisher KUT  +
StartPage 67  +
Title Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice  +
Year 2010  +
Has queryThis property is a special property in this wiki. Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice + , Publications:Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 30 September 2016 20:41:14  +
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