Title :
Identification of vocal fold pathology based on Mel Frequency Band Energy Coefficients and singular value decomposition
Author :
Hariharan, M. ; Paulraj, M.P. ; Yaacob, Sazali
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis (UniMAP), Kangar, Malaysia
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.
Keywords :
energy gap; medical image processing; singular value decomposition; speech; MFBECs feature; Mel frequency band energy coefficients; band energy coefficients; classifiers; decomposition feature extraction method; linear discriminant analysis; singular value decomposition; vocal fold pathology; vocal fold pathology detection; Data mining; Ear; Feature extraction; Frequency; Linear discriminant analysis; Pathology; Singular value decomposition; Spatial databases; Speech analysis; Testing; Linear Discriminant Analysis; Mel Frequency Band Energy Coefficients; Singular Value Decomposition; Vocal Fold Pathology; k-nearest neighbour classifier (k-NN);
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5560-7
DOI :
10.1109/ICSIPA.2009.5478710