Support vector machine performance with optimal parameters identification in recognising asphyxiated infant cry
Detection of asphyxia in infant at an early stage is crucial to reduce the rate of infant morbidity. The information regarding asphyxia can be extracted from infant cry signals using support vector machine (SVM) combined with effective feature selection methods such as principal component analysis (...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation Inc
2018
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |