Machine Learning Approach for Infant Cry Interpretation-Reference-Cited by-同舟云学术

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Machine Learning Approach for Infant Cry Interpretation

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)
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Author:

Osmani Aomar,Hamidi Massinissa,Chibani Abdelghani

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8344747/8371903/08371941.pdf?arnumber=8371941

Cited by 19 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. The relationship between technology trust and behavioral intention to use Metaverse in baby monitoring systems’ design: Stimulus-Organism-Response (SOR) theory;Entertainment Computing;2025-01

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

3. Transformer-Based Approach to Pathology Diagnosis Using Audio Spectrogram;Information;2024-04-30

4. Use of psychoacoustic spectrum warping, decision template fusion, and neighborhood component analysis in newborn cry diagnostic systems;The Journal of the Acoustical Society of America;2024-02-01

5. Proposing Novel Recurrent Neural Network Architectures for Infant Cry Detection in Domestic Context;2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC);2023-10-16

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