Classification of asphyxia infant cry using hybrid speech features and deep learning models
Single speech feature such as Mel-Frequency Cepstral Coefficient (MFCC) has been used in most of the studies to classify asphyxia cry among infants. Other speech features such as Chromagram, Mel-scaled Spectrogram, Spectral Contrast and Tonnetz have not been reported in any study related to the clas...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/40947/ |
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