Respiratory sounds classification using cepstral analysis and Gaussian mixture models-Reference-Cited by-同舟云学术

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Respiratory sounds classification using cepstral analysis and Gaussian mixture models

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Container-title:The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Author:

Bahoura M.,Pelletier C.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/9639/30462/01403077.pdf?arnumber=1403077

Cited by 6 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. Identification of Belt Conveyor Malfunctions Using Machine Learning with Diverse Anomalous Sound Data;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24

2. Poster: Human Presence Detection After Earthquakes: An AI-Based Implicit User Interface on the Smartphone;Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter;2023-09-20

3. FPGA Design for Efficient Speech Processing System;2022 2nd Asian Conference on Innovation in Technology (ASIANCON);2022-08-26

4. Classification of Respiratory Sounds in Smokers and Non-smokers using k-NN Classifier;IFMBE Proceedings;2017

5. Detection of Transient Signals in Lung Sounds: Local Approach Using a Markovian Tree with Frequency Selectivity;Journal of Signal Processing Systems;2010-10-01

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