Musical genre classification of audio signals using geometric methods

European Signal Processing Conference

Volumn , Issue , 2010, Pages 497-501

  Genussov, Michal ^a   Cohen, Israel ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SIGNAL; CLASSIFICATION ALGORITHM; DIFFUSION MAPS; DIMENSIONALITY REDUCTION; EUCLIDEAN SPACES; GEOMETRIC METHOD; MUSIC FILES; MUSICAL GENRE; MUSICAL GENRE CLASSIFICATION; NON-LINEAR METHODS;

ALGORITHMS; GEOMETRY; SIGNAL PROCESSING;

COMPUTER MUSIC;

EID: 80051656284     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. R. Coifman and S. Lafon. Diffusion maps. Applied and Computational Harmonic Analysis, 21:5-30, June 2006.
2. R. Coifman and S. Lafon. Geometric harmonics: A novel tool for multiscale out-of-sample extension of empirical functions. Applied and Computational Harmonic Analysis, 21:31- 52, June 2006.
3. S. Lafon, Y. Keller, and R. R. Coifman. Data fusion and multicue data matching by diffusion maps. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(11):1784-1797, Nov. 2006.
4. C. McKay and I. Fujinaga. Automatic genre classification using large high-level musical feature sets. In Proceedings of the International Conference on Music Information Retrieval, pages 525-530, Barcelona, Spain, Oct. 2004.
5. J. Shlens. A tutorial on principal component analysis. Technical report, Center for Neural Science, New York University, New York City, Apr. 2009.
6. G. Tzanetakis and P. Cook. Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing, 10(5):293-302, July 2002.
7. C. Xu, N. C. Maddage, X. Shao, F. Cao, and Q. Tian. Musical genre classification using support vector machines. In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), volume 5, pages 429-32, Apr. 2003.