Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the IEEE INDICON 2004 - 1st India Annual Conference |
Pages | 352-354 |
Number of pages | 3 |
Publication status | Published - 2004 |
Event | IEEE INDICON 2004 - 1st India Annual Conference - Kharagpur, India Duration: 20-12-2004 → 22-12-2004 |
Conference
Conference | IEEE INDICON 2004 - 1st India Annual Conference |
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Country/Territory | India |
City | Kharagpur |
Period | 20-12-04 → 22-12-04 |
All Science Journal Classification (ASJC) codes
- Engineering(all)