Infant cry classification: time frequency analysis
Proceeding of The International Conference on Control System, Computing and Engineering (ICCSCE 2013) at Penang, Malaysia on 29 November 2013 through 1 December 2013
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IEEE Conference Publications
2014
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my.unimap-343722014-05-08T08:31:18Z Infant cry classification: time frequency analysis Saraswathy, Jeyaraman Hariharan, Muthusamy, Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. Thiyagar., N hari@unimap.edu.my khairunizam@unimap.edu.my s.yaacob@unimap.edu.my Acoustic analysis Classification Infant cry Signal processing Proceeding of The International Conference on Control System, Computing and Engineering (ICCSCE 2013) at Penang, Malaysia on 29 November 2013 through 1 December 2013 Acoustic analysis of infant cry has been the subject of a number of researchers since half decades ago. This paper addresses a simple time-frequency analysis based signal processing technique using short-time Fourier transform (STFT) for the investigation and classification of infant cry signals. A cluster of statistical features are derived from the time-frequency plots of infant cry signals. The extracted feature vectors are used to model and train two types of radial basis neural network namely Probabilistic Neural Network (PNN) and General Regression Neural Network (GRNN) in classification phases. Three classes of infant cry signals are considered such as normal cry signals cry signals from deaf infants and infants with asphyxia. Promising classification results above 99% reveals that the proposed features and classification technique can effectively classify different infant cries. 2014-05-08T08:31:17Z 2014-05-08T08:31:17Z 2013-11 Working Paper p. 499-504 978-1-4799-1506-4 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6720016&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6720016 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34372 http://dx.doi.org/10.1109/ICCSCE.2013.6720016 en Proceeding of The International Conference on Control System, Computing and Engineering (ICCSCE 2013); IEEE Conference Publications |
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| language |
English |
| topic |
Acoustic analysis Classification Infant cry Signal processing |
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Acoustic analysis Classification Infant cry Signal processing Saraswathy, Jeyaraman Hariharan, Muthusamy, Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. Thiyagar., N Infant cry classification: time frequency analysis |
| description |
Proceeding of The International Conference on Control System, Computing and Engineering (ICCSCE 2013) at Penang, Malaysia on 29 November 2013 through 1 December 2013 |
| author2 |
hari@unimap.edu.my |
| author_facet |
hari@unimap.edu.my Saraswathy, Jeyaraman Hariharan, Muthusamy, Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. Thiyagar., N |
| format |
Working Paper |
| author |
Saraswathy, Jeyaraman Hariharan, Muthusamy, Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. Thiyagar., N |
| author_sort |
Saraswathy, Jeyaraman |
| title |
Infant cry classification: time frequency analysis |
| title_short |
Infant cry classification: time frequency analysis |
| title_full |
Infant cry classification: time frequency analysis |
| title_fullStr |
Infant cry classification: time frequency analysis |
| title_full_unstemmed |
Infant cry classification: time frequency analysis |
| title_sort |
infant cry classification: time frequency analysis |
| publisher |
IEEE Conference Publications |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/34372 |
| _version_ |
1643797461306703872 |
| score |
13.19449 |