Infant Cry Detection With Lightweight Wavelet Scattering Networks
Author:
Affiliation:
1. School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, China
2. School of Electrical and Computer Engineering, Guangzhou Nanfang College, Guangzhou, China
Funder
Collaborative Innovation Center for Intelligent Educational Technology of Guangzhou
Guangdong Scientific Research Promotion Project for Key Construction Disciplines
Guangdong Engineering Technology Center of Regular Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10335657.pdf?arnumber=10335657
Reference60 articles.
1. Automatic cradle system with measurement of baby's vital biological parameters
2. IoT-BBMS: Internet of Things-Based Baby Monitoring System for Smart Cradle
3. A review of infant cry analysis and classification
4. Design and development of a smart baby monitoring system based on Raspberry Pi and Pi camera
5. IoT Based Smart Cradle System with an Android App for Baby Monitoring
Cited by 2 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. Spectrogram and LSTM Based Infant Cry Detection Method for Infant Wellness Monitoring Systems;2024 16th International Conference on Human System Interaction (HSI);2024-07-08
2. DEW: A wavelet approach of rare sound event detection;PLOS ONE;2024-03-28
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