Detection of asphyxia from infant cry by linear kernel support vector machine enhanced with features from orthogonal least square
An investigation into the performance of SVM with linear kernel and features ranked by OLS, to discriminate infants with asphyxia from their cries, is presented in this paper. The features of the cry signal were first transformed into MFC coefficients. The input feature set was then used for classif...
| Published in: | ICCAIE 2011 - 2011 IEEE Conference on Computer Applications and Industrial Electronics |
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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-s2.0-84863341940&doi=10.1109%2fICCAIE.2011.6162157&partnerID=40&md5=cb68fa87f59a70f73c4556f8e6fceecb |