Author:
Dixit Amulya A.,Dharwadkar Nagaraj V.
Cited by
5 articles.
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1. Premature Infant Cry Classification via Deep Convolutional Recurrent Neural Network Based on Multi-class Features;Circuits, Systems, and Signal Processing;2023-08-01
2. Analysis of Multiple Types of Baby Cries Based on LSTM;2023 8th International Conference on Intelligent Computing and Signal Processing (ICSP);2023-04-21
3. Identification of Reasons Behind Infant Crying Using Acoustic Signal Processing and Deep Neural Network for Neonatal Intensive Care Unit;International Journal of Information Retrieval Research;2022-01
4. A review of infant cry analysis and classification;EURASIP Journal on Audio, Speech, and Music Processing;2021-02-05
5. Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features;2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData);2019-07