Classification of asphyxia infant cry using hybrid speech features and deep learning models

• Main Authors: Ting, Hua-Nong, Choo, Yao-Mun, Kamar, Azanna Ahmad
• Format: Article
• Published: Elsevier 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/40947/
• Institution: Universiti Malaya

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...