Environmental sound recognition with various feature extraction and classification techniques

This thesis proposes "An Environmental Sound Recognition with various feature extraction and classification techniques" for environmental sound recognition. Study in Environmental Sound Recognition (ESR) has taken attention in recent years. In the past decade, research on the Environmental Sound Recognition (ESR) area has accelerated. ESR has important role on intelligent computer systems and robots for the purpose of identification, recognition and discrimination. In this survey, I will put forward a survey on which various feature extraction and classification techniques is better to recognize environmental sounds. Survey includes these parts: environmental sound recognition system processing, feature extraction techniques, classification techniques, and performance comparison of selected techniques. At long last, finishing up comments and future innovative work slants in the ESR field will be given.