An analysis of the GTZAN music genre dataset

MIRUM 2012 - Proceedings of the 2nd International ACM Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies, Co-located with ACM Multimedia 2012

Volumn , Issue , 2012, Pages 7-12

  Sturm, Bob L ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

Exemplary music datasets; Music genre recognition

Indexed keywords

DATA SETS; MUSIC GENRE;

INFORMATION RETRIEVAL;

EID: 84870497334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2390848.2390851     Document Type: Conference Paper

References (22)

1. C. Ammer. Dictionary of Music. The Facts on File, Inc., New York, NY, USA, 4 edition, 2004.
2. J. Andén and S. Mallat. Scattering representations of modulation sounds. In Proc. Int. Conf. Digital Audio Effects, York, UK, Sep. 2012.
3. E. Benetos and C. Kotropoulos. A tensor-based approach for automatic music genre classification. In Proc. European Signal Process. Conf., Lausanne, Switzerland, Aug. 2008.
4. J. Bergstra, N. Casagrande, D. Erhan, D. Eck, and B. Kégl. Aggregate features and AdaBoost for music classification. Machine Learning, 65(2-3):473-484, June 2006.
5. D. Bogdanov, J. Serra, N. Wack, P. Herrera, and X. Serra. Unifying low-level and high-level music similarity measures. IEEE Trans. Multimedia, 13(4):687-701, Aug. 2011.
6. K. Chang, J.-S. R. Jang, and C. S. Iliopoulos. Music genre classification via compressive sampling. In Proc. Int. Soc. Music Info. Retrieval, pages 387-392, Amsterdam, The Netherlands, Aug. 2010.
7. F. Fabbri. A theory of musical genres: Two applications. In Proc. Int. Conf. Popular Music Studies, Amsterdam, The Netherlands, 1980.
8. A. Flexer. A closer look on artist filters for musical genre classification. In Proc. Int. Soc. Music Info. Retrieval, Vienna, Austria, Sep. 2007.
9. J. Frow. Genre. Routledge, New York, NY, USA, 2005.
10. M. Genussov and I. Cohen. Musical genre classification of audio signals using geometric methods. In Proc. European Signal Process. Conf., pages 497-501, Aalborg, Denmark, Aug. 2010.
11. E. Guaus. Audio content processing for automatic music genre classification: descriptors, databases, and classifiers. PhD thesis, Universitat Pompeu Fabra, Barcelona, Spain, 2009.
12. M. Henaff, K. Jarrett, K. Kavukcuoglu, and Y. LeCun. Unsupervised learning of sparse features for scalable audio classification. In Proc. Int. Soc. Music Info. Retrieval, Miami, FL, Oct. 2011.
13. C. Kotropoulos, G. R. Arce, and Y. Panagakis. Ensemble discriminant sparse projections applied to music genre classification. In Proc. Int. Conf. Pattern Recog., pages 823-825, Aug. 2010.
14. C. Lee, J. Shih, K. Yu, and H. Lin. Automatic music genre classification based on modulation spectral analysis of spectral and cepstral features. IEEE Trans. Multimedia, 11(4):670-682, June 2009.
15. T. Li and A. Chan. Genre classification and the invariance of MFCC features to key and tempo. In Proc. Int. Conf. MultiMedia Modeling, Taipei, China, Jan. 2011.
16. C. McKay and I. Fujinaga. Music genre classification: Is it worth pursuing and how can it be improved? In Proc. Int. Soc. Music Info. Retrieval, Victoria, Canada, Oct. 2006.
17. A. Nagathil, P. Göttel, and R. Martin. Hierarchical audio classification using cepstral modulation ratio regressions based on legendre polynomials. In Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., pages 2216-2219, Prague, Czech Republic, July 2011.
18. E. Pampalk, A. Flexer, and G. Widmer. Improvements of audio-based music similarity and genre classification. In Proc. Int. Soc. Music Info. Retrieval, pages 628-233, London, U.K., Sep. 2005.
19. Y. Panagakis, C. Kotropoulos, and G. R. Arce. Music genre classification via sparse representations of auditory temporal modulations. In Proc. European Signal Process. Conf., Glasgow, Scotland, Aug. 2009.
20. G. Tzanetakis. Manipulation, Analysis and Retrieval Systems for Audio Signals. PhD thesis, Princeton University, June 2002.
21. G. Tzanetakis and P. Cook. Musical genre classification of audio signals. IEEE Trans. Speech Audio Process., 10(5):293-302, July 2002.
22. A. Wang. An industrial strength audio search algorithm. In Proc. Int. Soc. Music Info. Retrieval, Baltimore, Maryland, USA, Oct. 2003.