Auditory Filterbank Learning Using ConvRBM for Infant Cry Classification
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ISCA
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Pragmatic Approach for Infant Cry Analysis Using Support Vector Machine and Random Forest Classifiers;Wireless Personal Communications;2024-07-30
2. Multi-modal analysis of infant cry types characterization: Acoustics, body language and brain signals;Computers in Biology and Medicine;2023-12
3. Infant cry classification by MFCC feature extraction with MLP and CNN structures;Biomedical Signal Processing and Control;2023-09
4. Work-in-Progress: Deep Learning Classification Models for Infant Cry Diagnostic;Open Science in Engineering;2023
5. A Review of Infant Cry Recognition and Classification based on Computer-Aided Diagnoses;2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2022-06-09
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