Optimal features for classifying asphyxiated infant cry using support vector machine with RBF kernel
An investigation into optimizing the input feature set for classifier to identify infant cry signals with asphyxia is presented in this paper. Mel frequency cepstrum coefficients were used to represent the infant cry signals collected from the Instituto Nacional De Astrofisica Opticay Electronica, M...
| Published in: | IFMBE Proceedings |
|---|---|
| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
2011
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-80555148855&doi=10.1007%2f978-3-642-23508-5_27&partnerID=40&md5=1774b657ea76e43bdeef76c2d843e54f |