Segmentation of voiced newborns' cry sounds using wavelet packet based features-Reference-Cited by-同舟云学术

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Segmentation of voiced newborns' cry sounds using wavelet packet based features

Published:2015-05 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)
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Author:

Abou-Abbas Lina,Alaei Hesam Fersai,Tadj Chakib

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7120003/7129089/07129376.pdf?arnumber=7129376

Cited by 3 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 Narrative Review on Different Novel Machine Learning Techniques for Detecting Pathologies in Infants From Born Baby Cries;Journal of Voice;2024-05

2. Internet of medical things for abnormality detection in infants using mobile phone app with cry signal analysis;Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain;2023

3. A fully automated approach for baby cry signal segmentation and boundary detection of expiratory and inspiratory episodes;The Journal of the Acoustical Society of America;2017-09

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