iRepository at Perpustakaan UniMAP >
The Library >
Conference Papers >

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/8683

Title: Identification of vocal fold pathology based on Mel Frequency Band Energy Coefficients and singular value decomposition
Authors: Hariharan, Muthusamy
Paulraj, Murugesa Pandiyan, Assoc. Prof.
Sazali, Yaacob, Prof. Dr.
Keywords: K-nearest neighbour classifier (k-NN);Linear discriminant analysis;Mel Frequency Band Energy Coefficients;Singular value decomposition;Vocal fold pathology;International Conference on Signal and Image Processing Applications (ICSIPA)
Issue Date: 18-Nov-2009
Publisher: Institute of Electrical and Elctronics Engineering (IEEE)
Citation: p.514-517
Series/Report no.: Proceedings of the International Conference on Signal and Image Processing Applications (ICSIPA) 2009
Abstract: Many approaches have been developed to detect the vocal fold pathology. Among the approaches, analysis of speech has proved to be an excellent tool for vocal fold pathology detection. This paper presents the Mel Frequency Band Energy Coefficients (MFBECs) combined with singular value decomposition (SVD) based feature extraction method for the classification of pathological or normal voice. In order to extract the most relevant information from the original MFBECs feature dataset, SVD is used. For the analysis, the speech samples of pathological and healthy subjects from the Massachusetts Eye and Ear Infirmary (MEEI) database are used. A simple k-means nearest neighbourhood (k-NN) and Linear Discriminant Analysis (LDA) based classifiers are used for testing the effectiveness of the MFBECs-SVD based feature vector. The experimental results show that the proposed features gives very promising classification accuracy and also can be effectively used to detect the pathological voices clinically.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5478710&tag=1
ISBN: 978-1-4244-5561-4
Appears in Collections:Paulraj Murugesa Pandiyan, Prof. Dr.
Hariharan Muthusamy, Dr.
Conference Papers
Sazali Yaacob, Prof. Dr.

Files in This Item:

File Description SizeFormat
Identification of vocal fold pathology based on Mel frequency band energy coefficients and singular value decomposition.pdf50.25 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! Perpustakaan Tuanku syed Faizuddin Putra, Kampus Pauh Putra, Universiti Malaysia Perlis, 02600, Arau Perlis
TEL: +604-9885420 | FAX: +604-9885405 | EMAIL: rujukan@unimap.edu.my Feedback