Optimized Support Vector Machine for classifying infant cries with asphyxia using Orthogonal Least Square
This paper investigates the effect of optimizing Support Vector Machine, with linear and RBF kernels, on its performance in classifying asphyxiated infant cries, with Orthogonal Least Square. Mel Frequency Cepstrum analysis first extracts feature from the infant cry signals. The extracted features a...
| Published in: | ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
2010
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953897666&doi=10.1109%2fICCAIE.2010.5735023&partnerID=40&md5=2c3a3799a2d86964e0d9e1b517a1cd3b |