Infant cry classification by MFCC feature extraction with MLP and CNN structures
In this study, Dunstan's infant cry data set is pre-processed with the feature vector approach,
including MFCC (19 features) and energy (one feature). By using extracted features and …
including MFCC (19 features) and energy (one feature). By using extracted features and …
Newborn cry-based diagnostic system to distinguish between sepsis and respiratory distress syndrome using combined acoustic features
Z Khalilzad, A Hasasneh, C Tadj - Diagnostics, 2022 - mdpi.com
Crying is the only means of communication for a newborn baby with its surrounding
environment, but it also provides significant information about the newborn's health …
environment, but it also provides significant information about the newborn's health …
Infant cry classification by using different deep neural network models and hand-crafted features
T Ozseven - Biomedical Signal Processing and Control, 2023 - Elsevier
Crying is the way babies communicate with the outside world. These cries may be related to
the needs of the baby or maybe an expression of a medical disorder. For this reason, infant …
the needs of the baby or maybe an expression of a medical disorder. For this reason, infant …
CNN‐SCNet: A CNN net‐based deep learning framework for infant cry detection in household setting
R Jahangir - Engineering Reports, 2024 - Wiley Online Library
Infants are vulnerable to several health problems and cannot express their needs clearly.
Whenever they are in a state of urgency and require immediate attention, they cry, which is a …
Whenever they are in a state of urgency and require immediate attention, they cry, which is a …
Infant cry signal diagnostic system using deep learning and fused features
Y Zayed, A Hasasneh, C Tadj - Diagnostics, 2023 - mdpi.com
Early diagnosis of medical conditions in infants is crucial for ensuring timely and effective
treatment. However, infants are unable to verbalize their symptoms, making it difficult for …
treatment. However, infants are unable to verbalize their symptoms, making it difficult for …
A Narrative Review on Different Novel Machine Learning Techniques for Detecting Pathologies in Infants From Born Baby Cries
P Kumari, K Mahto - Journal of Voice, 2024 - Elsevier
This paper reviews the research work on the analysis and classification of pathological
infant cries in the last 50 years. The literature review mainly covers the need and role of …
infant cries in the last 50 years. The literature review mainly covers the need and role of …
Baby cry recognition based on WOA-VMD and an improved Dempster–Shafer evidence theory
Background and objective Conflict may happen when more than one classifier is used to
perform prediction or classification. The recognition model error leads to conflicting …
perform prediction or classification. The recognition model error leads to conflicting …
Multi-task Learning for Audio-based Infant Cry Detection and Reasoning
Infant cry is a crucial indicator that offers valuable insights into their physical and mental
conditions, such as hunger and pain. However, the scarcity of infant cry datasets hinders the …
conditions, such as hunger and pain. However, the scarcity of infant cry datasets hinders the …
Baby cry recognition based on SLGAN model data generation and deep feature fusion
Deep learning models have been applied in baby cry recognition to enhance the recognition
accuracy. However, the current research still suffers from data imbalance problem, which …
accuracy. However, the current research still suffers from data imbalance problem, which …
[HTML][HTML] Infant cry classification using an efficient graph structure and attention-based model
X Qiao, S Jiao, H Li, G Liu, X Gao, Z Li - Kuwait Journal of Science, 2024 - Elsevier
Crying serves as the primary means through which infants communicate, presenting a
significant challenge for new parents in understanding its underlying causes. This study …
significant challenge for new parents in understanding its underlying causes. This study …