Improving snore detection under limited dataset through harmonic/percussive source separation and convolutional neural networks

FD González-Martínez, JJ Carabias-Orti… - Applied Acoustics, 2024 - Elsevier
Snoring, an acoustic biomarker commonly observed in individuals with Obstructive Sleep
Apnoea Syndrome (OSAS), holds significant potential for diagnosing and monitoring this …

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

H Dong, H Wu, G Yang, J Zhang… - Computer Methods in …, 2024 - Taylor & Francis
Obstructive sleep apnea (OSA) is associated with various health complications, and snoring
is a prominent characteristic of this disorder. Therefore, the exploration of a concise and …

Machine Learning and Sound Processing in Vocal Disease Detection.

MA Costandache - Computer Science Journal of Moldova, 2024 - ibn.idsi.md
We present in this paper some of the existing machine learning and sound processing
techniques involved in the medical process and show how they can be applied in the …

Knight Watch: Ubiquitous Computing Enhancements To Sleep Quality With Acoustic Analysis

A Ajemian, J Knight, T Nguyen, J O'Connor - arXiv preprint arXiv …, 2024 - arxiv.org
This project introduces a wearable, non-intrusive device for snoring detection and
remediation, designed to be placed under or alongside a pillow. The device uses sensors …

LightSnore-Net: A Lightweight Neural Network for Snoring Detection and Mitigation in Smart Pillows

X Luo, Z Mao, S Duan, X Zhang, C Zhang… - … Conference on Intelligent …, 2024 - Springer
Snoring, a common sleep disorder, is often delayed in diagnosis due to the inconvenience
of polysomnography (PSG). Current anti-snoring devices on the market often employ …

CNN-SENet: A Convolutional Neural Network Model for Audio Snoring Detection Based on Channel Attention Mechanism

Z Mao, S Duan, X Zhang, C Zhang, H Fan… - … on Intelligent Computing, 2024 - Springer
Snoring is recognised as an independent risk factor for cardiovascular disease, making its
monitoring crucial for disease prevention and management. Existing technologies face …