P. Herrera, A. Yeterian, and F. Gouyon. Automatic classification of drum sounds: A comparison of feature selection methods and classification techniques. In Proc. ICMAI, LNAI2445, pages 69--80, 2002. Home/Search Document Details and Download
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....of the long term goals for music content description systems. One shorter term goal is that of describing drum loops at the rhythmic level because, in them, we find a combination of almost isolated sounds with simpler 2 or 3 sounds mixtures. This paper can be considered as a follow up of [5] and [6], and also as an attempt to further explore our previous approach in order to handle more classes (and more difficult class boundaries too ) It can be also considered as groundwork for dealing with automatic labeling of drum loops, which will be presented in a forthcoming report. Previous ....
P.Herrera, A.Yeterian, and F.Gouyon, "Automatic classification of drum sounds: a comparison of feature selection methods and classification techniques," Music and Artificial Intelligence: Second International
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P. Herrera, A. Yeterian, and F. Gouyon, "Automatic classification of drum sounds: A comparison of feature selection methods and classification techniques," in Proceedings of the International Conference of Music and Artificial Intelligence. 2002, pp. 69--80, Springer.
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Herrera, P., A. Yeterian, and F. Gouyon, "Automatic Classification of Drum Sounds: A comparison of feature selection methods and classification techniques", Proceedings of the 2 nd International Conference on Music and Artificial Intelligence, Edimburgh, United Kingdom, 2002.
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P. Herrera, A. Yeterian, F. Gouyon. Automatic classification of drum sounds: a comparison of feature selection methods and classification techniques. Proceedings of 2nd International Conference on Music and Artificial Intelligence, Edinburgh, Scotland, 2002.
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