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