Title :
Audio Retrieval Based on Tolerance Rough Sets
Author :
Li, Xiao-Li ; Wang, Tong ; Zhen-Long Du
Author_Institution :
Sch. of Comput. & Commun., Lanzhou Univ. of Technol.
Abstract :
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
Keywords :
audio signal processing; content-based retrieval; feature extraction; rough set theory; audio clip; audio feature set; audio retrieval; tolerant rough set theory; Indexes; Internet; Mel frequency cepstral coefficient; Music information retrieval; Phase change materials; Pulse modulation; Rhythm; Rough sets; Set theory; Spatial databases;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1615005
