Classification of Snoring Sounds
Özet
— Snoring is a disturbance in breathing caused by
air flow caused by tissue vibration in different parts of the upper
respiratory tract during sleep. It can be a symptom of a serious
illness such as sleep apnea. For this reason, it is of great
importance that the origin of snoring sounds is determined and
treated correctly. In this study, the MPSSC data set containing
snoring sounds was used. The data set contains 828 audio files
taken from 224 subjects. In the study, features were obtained
with Mel-Frequency Cepstral Coefficients (MFCC), Pitch,
SCAT and Gaussian Mixture Model (GMM) to determine the
location of snoring sounds in the upper respiratory tract.
Classification was made with K-Nearest Neighbors (KNN) and
Support Vector Machine (SVM). In the classification of snoring
sounds, 57.87% success rate was achieved with the Scat + GMM
+ SVM model as an initial study.
Atıf için künye
Kılıç, R., Kumbasar, N., Sağlam, H. K., Oral, E. A., & Özbek, İ. Y. (2021). Classification of Snoring Sounds. ISASE 2021, Erzurum (ss. 387–390).
BibTeX
@inproceedings{kilic2021-181082,
author = {Kılıç, Rabiye and Kumbasar, Nida and Sağlam, Hilal Kübra and Oral, Emin Argun and Özbek, İbrahim Yücel},
title = {Classification of Snoring Sounds},
booktitle = {ISASE 2021},
address = {Erzurum},
year = {2021},
pages = {387--390},
url = {https://akademik.atauni.edu.tr/yayinlar/181082-classification-of-snoring-sounds}
}