DocumentCode :
2290488
Title :
Music Genre Classification and Similarity Calculation Using Bass-Line Features
Author :
Kitahara, Tetsuro ; Tsuchihashi, Yusuke ; Katayose, Haruhiro
Author_Institution :
CREST Muse Project, JST
fYear :
2008
fDate :
15-17 Dec. 2008
Firstpage :
574
Lastpage :
579
Abstract :
Various studies on music information retrieval have been conducted. Most of them used low-level features such as spectral and cepstral features, which are effective to some extent but have a limit because they do not directly or clearly correspond to any musical aspects. In this paper, we design new audio features to be extracted from bass lines.Because bass lines play important roles in both harmonic and rhythmic aspects and have a different style for each music genre, our bass-line features are expected to improve the similarity measure and classification accuracy. We also report applications of our bass-line features to music genre classification and musical similarity calculation.
Keywords :
classification; feature extraction; information retrieval; music; bass-line features; music genre classification; music information retrieval; musical similarity calculation; Amplitude modulation; Cepstral analysis; Data mining; Feature extraction; Frequency; Humans; Instruments; Music information retrieval; Rhythm; Signal processing; Genre classification; content-based music information retrieval; music similarity calculation; musical feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-0-7695-3454-1
Electronic_ISBN :
978-0-7695-3454-1
Type :
conf
DOI :
10.1109/ISM.2008.75
Filename :
4741229
Link To Document :
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