Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/42178
Title: Cultural style based music classification of audio signals
Authors: Liu, Y.
Xiang, Q. 
Wang, Y. 
Cai, L.
Keywords: Audio classification
Cultural style
Feature extraction
Music information retrieval
Issue Date: 2009
Source: Liu, Y.,Xiang, Q.,Wang, Y.,Cai, L. (2009). Cultural style based music classification of audio signals. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings : 57-60. ScholarBank@NUS Repository.
Abstract: Music classification based on cultural style is useful for music analysis and has potential applications in retrieval and recommendation systems. In this paper, we present the first attempt to classify audio signals automatically according to their cultural styles, which are characterized by timbre, rhythm, wavelet coefficients and musicology-based features. Machine learning algorithms are employed to investigate the effectiveness of various features on a data set of 1300 music pieces. Experimental results show that the proposed method can achieve an overall accuracy of 86% for six cultural styles, which shows the feasibility of integrating cultural style classification into music retrieval systems. ©2009 IEEE.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/42178
ISBN: 9781424423545
ISSN: 15206149
Appears in Collections:Staff Publications

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