ISASE 2021, Erzurum, Turkey, 7 - 09 April 2021, pp.387-390
— 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.