Polyphonic musical instrument recognition based on a dynamic model of the spectral envelope

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 173-176

  Burred, Juan José ^a   Röbel, Axel ^a   Sikora, Thomas ^b  

^a Université Pierre et Marie Curie   (France)

^b TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Gaussian Processes; Music Information Retrieval; Musical instrument classification; Spectral envelope

Indexed keywords

CLASSIFICATION (OF INFORMATION); MUSICAL INSTRUMENTS; SPEECH COMMUNICATION;

DETECTION ACCURACY; GAUSSIAN PROCESSES; MULTIMEDIA CONTENT ANALYSIS; MUSIC INFORMATION RETRIEVAL; MUSICAL INSTRUMENT CLASSIFICATIONS; MUSICAL INSTRUMENT RECOGNITION; SINUSOIDAL TRAJECTORIES; SPECTRAL ENVELOPES;

AUDIO SIGNAL PROCESSING;

EID: 70349445496     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2009.4959548     Document Type: Conference Paper

References (5)

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2. B. Kostek, "Musical instrument classification and duet analysis employing music information retrieval techniques," Proceedings of the IEEE, vol. 92, no. 4, pp. 712-729, 2004.
3. J. J. Burred, A. Röbel, and X. Rodet, "An accurate timbre model for musical instruments and its application to classification," in Proc. Workshop on Learning Semantics of Audio Signals (LSAS), Athens, Greece, December 2006.
4. M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka, "RWC music database: Music genre database and musical instrument sound database," in Proc. Int. Conf. on Music Information Retrieval (ISMIR), Baltimore, USA, 2003.
5. L. G. Martins, J. J. Burred, G. Tzanetakis, and M. Lagrange, "Polyphonic instrument recognition using spectral clustering," in Proc. International Conference on Music Information Retrieval (ISMIR), Vienna, Austria, September 2007.