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Audio music mood classification using support vector machine

Title Audio music mood classification using support vector machine
Publication Type Conference Paper
Year of Publication 2007
Conference Name International Society for Music Information Research Conference (ISMIR)
Authors Laurier, C. , & Herrera P.
Abstract The system submitted to the MIREX Audio Music Mood Classification task is described here. It uses a set of 133 descriptors and a Support Vector Machine classifier to predict the mood cluster. The features are spectral, temporal, tonal but also describe loudness and danceability. The features were selected previously according to experiments on our annotated databases. The SVM is optimized using a grid search algorithm.
preprint/postprint document files/publications/b6c067-ISMIR-MIREX-2007-Laurier-Herrera.pdf