Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2005.1415618
Title: Automatic music summarization based on music structure analysis
Authors: Shao, X.
Maddage, N.C.
Xu, C.
Kankanhalli, M.S. 
Issue Date: 2005
Source: Shao, X.,Maddage, N.C.,Xu, C.,Kankanhalli, M.S. (2005). Automatic music summarization based on music structure analysis. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings II : II1169-II1172. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2005.1415618
Abstract: In this paper, we present a novel approach for music summarization based on music structure analysis. From the audio signal, we first extract the note onset representing the time tempo of the song and the music structure analysis can be performed based on this tempo information. After music content has been structured into different semantic regions such as Introduction (Intro), Verse, Chorus, Ending (Outro), etc., the final music summary can be created with chorus and music phrases which are included anterior or posterior to selected chorus to get the desired length of the final summary. In this way, we can guarantee that the summaries begin and end at meaningful music phrase boundaries, which is a difficult problem for existing music summarization methods. Experiments show our proposed method can capture the main theme of the music compared to the ideal summaries selected by music experts and user subjective evaluation indicates our proposed method has a good performance. © 2005 IEEE.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/41355
ISBN: 0780388747
ISSN: 15206149
DOI: 10.1109/ICASSP.2005.1415618
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