Automatic summarization of MP3 music objects

Author

Liu, Chih-Chin ; Yao, Pang-Chia

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan

Volume

5

fYear

2004

fDate

17-21 May 2004

Abstract

We propose an approach to summarize MP3 music objects automatically. The MP3 music summary is constructed in three steps. First, coefficients extracted from the output of polyphase filters are used to compute the MP3 features. Based on these features, an MP3 music object can be automatically segmented into a sequence of MP3 phrases. Then, the phrase clustering technique is applied to group similar phrases into a cluster. The phrases in a cluster can be considered as repeating patterns in the MP3 song. Finally, the RP-tree algorithm is applied to find the nontrivial repeating patterns such as chorus, refrains, themes, and motives of the song. Experiments are also performed and analyzed to show the effectiveness of the proposed method.

Keywords

audio signal processing; feature extraction; music; pattern classification; pattern clustering; tree data structures; MP3 features; MP3 music object summarization; chorus; coefficient extraction; music object segmentation; music summary; nontrivial repeating patterns; phrase clustering; polyphase filters; refrains; repeating song patterns; song motives; themes; tree data structures; Clustering algorithms; Computer science; Contracts; Councils; Data mining; Digital audio players; Filters; ISO standards; Internet; Multiple signal classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1327262

Filename

1327262