Music type groupers (MTG): generic music classification algorithms

TitleMusic type groupers (MTG): generic music classification algorithms
Publication TypeMiscellaneous
Year of Publication2009
AuthorsWack, N., Guaus E., Laurier C., Meyers O., Marxer R., Bogdanov D., Serrà J., & Herrera P.
AbstractThis paper outlines our submissions to different music classification tasks for the Music Information Retrieval Evaluation eXchange (MIREX) 2009. We detail here three different algorithms tested in mood and genre classification tasks, and in classical composer identification. These algorithms are based on Support Vector Machines, Disjoint Principal Components Models, and K-NN. The last one utilizes Euclidean distances in a reduced space using Relevant Component Analysis and Kullback Leibler divergence on Mel Frequency Cepstrum Coefficients (MFCC).
NotesMIREX09 results: http://www.music-ir.org/mirex/2009/index.php/MIREX2009_Results
preprint/postprint documentfiles/publications/MIREX_classification_final.pdf
intranet