Contribution to Time and Frequency Analysis of Irregular Sleep Snoring

摘要

The purpose of this paper is to give a summaryanalysis of human snoring and its episodes. In particular, weconsider an acute snoring. In order to extract some frequencyinformation of snoring signal, we apply the Fast Fourier Transform(FFT), Short Time Fourier Transform (STFT) algorithms,Discrete Wavelet Technique, and Power Spectral Density (PSD).Once irregular snoring characterized, we use a Voice ActivityDetection (VAD) for snoring episode detection. Furthermore,we give comparative study of three types of thresholds that cancontrol the VAD approach, a fixed threshold, a soft threshold, anda Gaussian threshold. Next, we use a Perceptual Evaluation ofSpeech Quality (PESQ) method to evaluate the efficiency of theVAD. We find that VAD based on Gaussian threshold is better.