Musical genre classification based on a highly-resolved cepstral modulation spectrum

European Signal Processing Conference

Volumn , Issue , 2010, Pages 462-466

  Nagathil, Anil ^a   Gerkmann, Timo ^a   Martin, Rainer ^a  

^a RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CEPSTRAL; CEPSTRAL COEFFICIENTS; CLASSIFICATION ACCURACY; DETECTION RATES; ELECTRONIC MUSIC; FEATURE SETS; HARMONIC MODULATIONS; HIGH MODULATION FREQUENCY; HIGH RESOLUTION; LOW-LEVEL FEATURES; MODULATION FREQUENCIES; MODULATION SPECTRUM; MUSICAL GENRE CLASSIFICATION;

COMPUTER MUSIC; FEATURE EXTRACTION;

MODULATION;

EID: 84863807125     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. H.-G. Kim, N. Moreau, and T. Sikora, MPEG-7 Audio and Beyond - Audio Content Indexing and Retrieval. Wiley, 2005.
2. B.P. Bogert, M.J.R. Healy, and J.W. Tukey, "The Quefrency Alanysis of Time Series for Echoes: Cepstrum, Pseudo- Autocovariance, Cross-Cepstrum and Saphne Cracking, " in Proc. Symposium on Time Series Analysis, pp. 209-243, 1963.
3. S.B. Davis and P. Mermelstein, "Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences, " IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 28, no. 4, pp. 357-366, 1980.
4. G. Tzanetakis and P. Cook, "Musical Genre Classification of Audio Signals, " IEEE Trans. Speech and Audio Processing, vol. 10, no. 5, pp. 293-302, 2002.
5. M.F. McKinney and J. Breebaart, "Features for Audio and Music Classification, " in Proc. Int. Conf. Music Information Retrieval (ISMIR), 2003.
6. B. Logan, "Mel Frequency Cepstral Coefficients for Music Modeling, " Proc. International Symposium on Music Information Retrieval, 2000.
7. C.-H. Lee, J.-L. Shih, K.-M. Yu, and H.-S. Lin, "AutomaticMusic Genre Classification Based on Modulation Spectral Analysis of Spectral and Cepstral Features, " IEEE Trans. Multimedia, vol. 11, no.4, pp. 670-682, 2009.
8. A. Meng, P. Ahrendt, J. Larsen, and L.K. Hansen, "Temporal Feature Integration for Music Genre Classification, " IEEE Trans. Audio, Speech and Language Processing, vol. 15, no.5, pp. 1654-1664, 2007.
9. R. Martin and A. Nagathil, "Cepstral Modulation Ratio Regression (CMRARE) Parameters for Audio Signal Analysis and Classification, " in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP), 2009.
10. F. Mörchen, A. Ultsch, M. Thies, and I. Löhken, "Modeling Timbre DistanceWith Temporal Statistics From Polyphonic Music, " IEEE Trans. Audio, Speech and Language Processing, vol. 14, no.1, pp. 81-90, 2006.
11. J.F. Böhme, Stochastische Signale: Eine Einf ührung in Modelle, Systemtheorie und Statistik. Teubner, 1998.
12. K. West, "Genre Classification from Polyphonic Audio, " http://www.music-ir.org/mirex/2005/index.php/AudioGenreClassification.
13. M. Slaney, "Auditory Toolbox: A MATLAB Toolbox for Auditory Modeling Work, " Technical Report 45, Apple Computer, 1994.
14. R.O. Duda, P.E. Hart, and D.G. Stork, Pattern Classification. John Wiley & Sons, 2nd edition, 2001.