Three-dimensional particle swam optimisation of Mel Frequency Cepstrum Coefficient computation and multilayer perceptron neural network for classifying asphyxiated infant cry
The performance Mel Frequency Cepstrum Coefficient (MFCC) in extracting significant feature is influence by several important parameter settings, namely the number of filter banks, and the number of coefficients used in the final representation. These settings affect the way the features are represe...
| 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-s2.0-84858785477&doi=10.1109%2fICCAIE.2011.6162147&partnerID=40&md5=b9e17a38216d602ca979da8224e0e1e1 |