Categorizing Simple Versus OSAHS Snoring Sound Using Quantifiable Acoustic Features and Machine Learning Classifiers

This work tackles audio signal analysis problems related to snoring sounds of simple and obstructive sleep apnea/hypopnea syndrome (OSAHS) snorers by optimizing acoustic feature extraction and training various machine learning models. Relevant acoustic features, including Mel-frequency cepstral coef...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Suphachok Buaruk, Somrudee Deepaisarn
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2025-01-01
Reeks:	IEEE Access
Onderwerpen:	Acoustic feature extraction apnea/hypopnea index (AHI) machine learning audio and signal processing snoring
Online toegang:	https://ieeexplore.ieee.org/document/11251235/
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!