DocumentCode :
460369
Title :
Representative Excerpts Extraction from Music
Author :
Jian-bin, Li ; Su-ning, He ; Hui, Zheng ; Zhong-Xia, Niu
Author_Institution :
Southwest Electron. & Telecommun. Technol. Res. Inst., Chengdu
Volume :
1
fYear :
2006
fDate :
38869
Firstpage :
158
Lastpage :
161
Abstract :
In this paper, we present methods for automatically producing representative excerpts of music. We maximize the segment similarity to the entire work to find the most similar excerpt, and maximize the segment novelty score to find the most meaningful excerpt, and combine the two measures to find the most representative excerpt. We discuss variations on the method, and present experimental results. These results demonstrate that the method can find significantly representative excerpts, just using very few assumptions about the source music
Keywords :
audio signal processing; music; music; representative excerpts extraction; Electronic commerce; Helium; Kernel; MONOS devices; Music information retrieval; Search engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
Type :
conf
DOI :
10.1109/ICCCAS.2006.284609
Filename :
4063853
Link To Document :
بازگشت