TY - GEN
T1 - A heuristic approach for music segmentation
AU - Chang, Chuan Wang
AU - Ke, Wen Jie
AU - Jiau, Hewijin Christin
PY - 2007/1/1
Y1 - 2007/1/1
N2 - Music segmentation is an important and essential step for successful development of music information retrieval system, particularly for polyphonic music database. In the past, most researchers assume music is monophonie. If the music is polyphonic, there is not satisfyingly solved by existing known algorithms. In this paper, we base on the LBDM and propose a heuristic method to extract the representative fragments of melody from different tracks. The extracted represented fragments are sentence-like phrases that can server as indexes of music. Experiments show the satisfying results in the proposed method.
AB - Music segmentation is an important and essential step for successful development of music information retrieval system, particularly for polyphonic music database. In the past, most researchers assume music is monophonie. If the music is polyphonic, there is not satisfyingly solved by existing known algorithms. In this paper, we base on the LBDM and propose a heuristic method to extract the representative fragments of melody from different tracks. The extracted represented fragments are sentence-like phrases that can server as indexes of music. Experiments show the satisfying results in the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=39049086314&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=39049086314&partnerID=8YFLogxK
U2 - 10.1109/ICICIC.2007.30
DO - 10.1109/ICICIC.2007.30
M3 - Conference contribution
SN - 0769528821
SN - 9780769528823
T3 - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
BT - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
PB - IEEE Computer Society
T2 - 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
Y2 - 5 September 2007 through 7 September 2007
ER -