TY - GEN
T1 - K-means nearest neighbor classifier for voice pathology
AU - Ananthakrishna, T.
AU - Shama, Kumara
AU - Niranjan, U. C.
PY - 2004
Y1 - 2004
N2 - The noninvasive acoustical analysis of normal and pathological voices help speech specialists to perform accurate diagnose of diseases. Pathological voices show higher vocal noise level due to malfunctioning of vocal cords. Addition of noise component in speech has found to change the spectral properties. In this study, we show the use of energy spectrum which is obtained from 21-channel filter-bank outputs, for the classification of pathological voices. A simple k-means nearest neighbor classifier based on spectral distance is designed and a good classification results have been reported.
AB - The noninvasive acoustical analysis of normal and pathological voices help speech specialists to perform accurate diagnose of diseases. Pathological voices show higher vocal noise level due to malfunctioning of vocal cords. Addition of noise component in speech has found to change the spectral properties. In this study, we show the use of energy spectrum which is obtained from 21-channel filter-bank outputs, for the classification of pathological voices. A simple k-means nearest neighbor classifier based on spectral distance is designed and a good classification results have been reported.
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M3 - Conference contribution
AN - SCOPUS:28444443797
SN - 0780389093
SN - 9780780389090
T3 - Proceedings of the IEEE INDICON 2004 - 1st India Annual Conference
SP - 352
EP - 354
BT - Proceedings of the IEEE INDICON 2004 - 1st India Annual Conference
T2 - IEEE INDICON 2004 - 1st India Annual Conference
Y2 - 20 December 2004 through 22 December 2004
ER -