A multi-branch convolutional neural network for snoring detection based on audio-Reference-Cited by-同舟云学术

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A multi-branch convolutional neural network for snoring detection based on audio

Published:2024-02-19 Issue: Volume: Page:1-12
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Dong Hao¹²,Wu Haitao²³,Yang Guan¹,Zhang Junming²³⁴⁵,Wan Keqin²

Affiliation:

1. School of Computer Science, Zhongyuan University of Technology, Henan, China

2. School of Computing and Artificial Intelligence, Huanghuai University, Henan, China

3. Henan Key Laboratory of Smart Lighting, Henan, China

4. Henan Joint International Research Laboratory of Behavior Optimization Control for Smart Robots, Henan, China

5. Zhumadian Artificial Intelligence and Medical Engineering Technical Research Centre, Henan, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2024.2317438

Reference28 articles.

1. Recurrent Neural Network for Classification of Snoring and Non-Snoring Sound Events

2. Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach

3. Excessive daytime sleepiness in young and middle-aged Chinese adults with obstructive sleep apnea: implications for cognitive dysfunction

4. Validation of snoring detection using a smartphone app

5. Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

Cited by 1 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. CNN-SENet: A Convolutional Neural Network Model for Audio Snoring Detection Based on Channel Attention Mechanism;Lecture Notes in Computer Science;2024

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