Audio Retrieval Based On Tolerance Rough Sets

A novel method of audio retrieval based on tolerant rough set theory is proposed. The existence of noise and audio characteristics affect the exactness of retrieval set generated by conventional approaches. In this paper, we construct audio feature set by audio features, retrieve and match the audio clip in the approximate space of tolerances rough set. Experiments show that our method overcomes the limitation of equivalent rough set in audio retrieval, and improves the retrieval efficiency.