Literature | Dataset | Features | Classifiers | Performance |
---|---|---|---|---|
Ji [15] (2019) | Baby Chillanto | MFCC with Weighted Prosodic | FFNN | 96.74% |
Badreldine [31] (2018) | Baby Chillanto | DWT-MFCC | RBR Kernel SVM | 97.7% |
Zabidi [60] (2017) | Baby Chillanto database with database | MFCC Image | CNN | 92.8% |
 | from University of Milano-Bicocca |  |  |  |
Onu [29] (2017) | Baby Chillanto | MFCC | SVM | 85% |
Sachin [30] (2017) | Baby Chillanto | Waveforms | AlexNet | 92% |
Moharir [28] (2017) | Baby Chillanto | Waveforms | GoogleNet,AlexNet | 94% |
Rosales-Péreza [71] (2014) | Baby Chillanto | MFCC, LPC | Fuzzy Model | 90.68% |
Saraswathy [33] (2012) | Baby Chillanto | Wavelet Packet Transform | PNN, GRNN | 99.04% |
Hariharan [86] (2012) | Baby Chillanto | STFT | PNN, GRNN, TDNN, MLP | 99% |
Hariharan [34] (2012) | Baby Chillanto | Weighted LPCC | PNN | 99% |
Sahak [91] (2010) | Baby Chilllanto asphyxia and | MFCC | SVM | 95.86% |
 | self-recorded normal cries |  |  |  |
Sahak [92] (2010) | Database from University | MFCC | Orthogonal least square (OLS)-based SVM | 93.16% |
 | of Milano Bicocca |  |  |  |
Zabidi [93] (2010) | Baby Chillanto | MFCC | MLP | 93.38% |