The heartbeat and respiratory information are often used for monitoring the sleep state. The respiratory measurement is important especially in monitoring the apnea during the sleeping. The most currently used respiration sensors are the thermo sensor and strain-gauge embedded belt sensor. However, these sensors are requested to fix somewhere in the body, which might become a negative effect on sleep itself. In this study, a simple microphone is investigated to measure the breath sound during the sleeping. In this case, how to extract the breath information is a major issue in this study. We analyze the breath sounds using Wavelet transformation, and we propose a method for detection and identification of snoring and body movements that an important factor to evaluate the sleep state using Respiration Waveform Analysis.