TY - GEN
T1 - Müzik türlerinin siniflandirilmasinda benzer kesişim bilgileri uygulamalari
AU - Baǧci, Ulaş
AU - Erzin, Engin
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - Two important problems of the automatic music genre classification are feature extraction and classifier design. This paper investigates inter-genre similarity modeling (IGS) to improve the automatic music genre classification performance. Intergenre similarity information is extracted over the mis-classified feature population. Once the inter-genre similarity is modeled, elimination of the inter-genre similarity reduces the inter-genre confusion and improves the identification rates. Inter-genre similarity modeling is further improved with iterative IGS modeling and score modeling for IGS elimination. Experimental results with promising classification improvements are provided.
AB - Two important problems of the automatic music genre classification are feature extraction and classifier design. This paper investigates inter-genre similarity modeling (IGS) to improve the automatic music genre classification performance. Intergenre similarity information is extracted over the mis-classified feature population. Once the inter-genre similarity is modeled, elimination of the inter-genre similarity reduces the inter-genre confusion and improves the identification rates. Inter-genre similarity modeling is further improved with iterative IGS modeling and score modeling for IGS elimination. Experimental results with promising classification improvements are provided.
UR - http://www.scopus.com/inward/record.url?scp=34247123635&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34247123635&partnerID=8YFLogxK
U2 - 10.1109/SIU.2006.1659788
DO - 10.1109/SIU.2006.1659788
M3 - Conference contribution
AN - SCOPUS:34247123635
SN - 1424402395
SN - 9781424402397
T3 - 2006 IEEE 14th Signal Processing and Communications Applications Conference
BT - 2006 IEEE 14th Signal Processing and Communications Applications Conference
T2 - 2006 IEEE 14th Signal Processing and Communications Applications
Y2 - 17 April 2006 through 19 April 2006
ER -