Inferring efficient hierarchical taxonomies for MIR tasks: Application to musical instruments

ISMIR 2005 - 6th International Conference on Music Information Retrieval

Volumn , Issue , 2005, Pages 324-328

  Essid, Slim ^a   Richard, Gaël ^a   David, Bertrand ^a  

^a CNRS   (France)

Author keywords

Clustering; Hierarchical taxonomy; Musical instrument; Probabilistic distance

Indexed keywords

AUDIO CLASSIFICATION; CLUSTERING; HIERARCHICAL TAXONOMY; INTER-CLASS DISTANCE; MACHINE LEARNING METHODS; PROBABILISTIC DISTANCE;

AUDIO ACOUSTICS; INFORMATION RETRIEVAL; LEARNING SYSTEMS; MUSICAL INSTRUMENTS;

TAXONOMIES;

EID: 84873543378     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Keith Dana Martin. Sound-Source Recognition : A Theory and Computational Model. PhD thesis, Massachusets Institue of Technology, jun 1999.
2. Antti Eronen. Automatic musical instrument recognition. Master's thesis, Tampere University of Technology, April 2001.
3. Geoffroy Peeters. Automatic classification of large musical instrument databases using hierarchical classifiers with inertia ratio maximization. In 115th AES convention, New York, USA, October 2003.
4. Slim Essid, Ga el Richard, and Bertrand David. Instrument recognition in polyphonic music. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, USA, March 2005.
5. F. Pachet and D. Cazaly. A taxonomy of musical genres. In Content-Based Multimedia Information Access Conference (RIAO), Paris, France, April.
6. C. McKay and I. Fujinaga. Automatic genre classification using large high-level musical feature sets. In 5th International Conference on Music Information Retrieval (ISMIR), Barcelona, Spain, October 2004.
7. Tao Li and Mitsunori Ogihara. Music genre classification with taxonomy. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, USA, March 2005.
8. Stephen McAdams, S. Winsberg, S. Donnadieu, G. De Soete, and J. Krimphoff. Perceptual scaling of synthesized musical timbres: common dimensions, specificities and latent subject classes. Psychological reserach, 58:177.192, 1995.
9. Sergios Theodoridis and Konstantinos Koutroumbas. Pattern recognition. Academic Press, 1998.
10. S. Zhou and R. Chellappa. From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel hilbert space. IEEE transactions on pattern analysis and machine intelligence. to be published.
11. B. Sholkopf and A. J. Smola. Learning with kernels. The MIT Press, Cambridge, MA, 2002.
12. Richard Duda and P. E. Hart. Pattern Classification and Scence Analysis. Wiley- Interscience. John Wiley & Sons, 1973.
13. Geoffroy Peeters. A large set of audio features for sound description (similarity and classification) in the cuidado project. Technical report, IRCAM, 2004.
14. Slim Essid, Ga el Richard, and Bertrand David. Musical instrument recognition based on class pairwise feature selection. In 5th International Conference on Music Information Retrieval (ISMIR), Barcelona, Spain, October 2004.