Orthogonal least square and optimized support vector machine with polynomial kernel for classifying asphyxiated infant cry
This paper describes the classification of infant cry with asphyxia using orthogonal least square based support vector machine with polynomial kernel. Optimization of input feature set and filter bank number of mel frequency cepstrum coefficient were performed to produce accurate results. These inpu...
| Published in: | 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
2011
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84863180528&doi=10.1109%2fICSIPA.2011.6144159&partnerID=40&md5=8fde0141d927abb6894e2d454b66a2fe |