Herrera, P., Amatriain, X., Batlle, E., Serra, X.: A critical review of automatic musical instrument classification. In Byrd, D, Downie, J.S., and Crawford, T (Eds.), Recent Research in Music Information Retrieval: Audio, MIDI, and Score Kluwer Academic Press, in preparation.  Home/Search   Document Not in Database   Summary   Related Articles

....loop type. Previous research in automatic classification of sound from music instruments has focused in instruments with definite pitch. Classification of string and wind instrument sounds has been attempted using different techniques and features yielding to varying degrees of success (see [3] for an exhaustive review) Classification of percussive instruments, on the other hand, has attracted little interest from researchers. In one of those above cited studies with pitched sounds, Kaminskyj [4] included three pitched percussive categories (glockenspiel, xylophone and marimba) and ....

....can be achieved in the most difficult case, and that the selected sets for basic level and for sub category classification show an important overlap. Table 2. Features selected by the CFS method Basic level [2, 4, 5, 6, 7, 9, 10, 14, 15, 16, 17, 18, 20, 21, 22, 26, 27, 30, 39] Sub category [1, 2, 3, 4, 5, 6, 7, 9, 10, 14, 15, 16, 17, 18, 19, 20, 21, 22, 26, 30, 39] ReliefF evaluates the worth of an attribute by repeatedly sampling an instance and considering the value of the given attribute for the nearest instance of the same and for the nearest different class [34] Table 3 shows the ReliefF selected features in the three different contexts. Note that ....

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Herrera, P., Amatriain, X., Batlle, E., Serra, X.: A critical review of automatic musical instrument classification. In Byrd, D, Downie, J.S., and Crawford, T (Eds.), Recent Research in Music Information Retrieval: Audio, MIDI, and Score Kluwer Academic Press, in preparation.

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