Abstract: The timcdomain feature of audio and its extraction method were analyzed. The research of the process and architecture of a audio classification system based on SVM was made, and the SVM audio classifier was designed. The results of experiments show that the audio classification system based on SVM designed in the paper can classify audio effectively, and the average identification accuracy reaches more than 90%.

Key words: Audio classification, SVM, MFCC, System