MIREX 2011 AUDIO TAG CLASSIFICATION USING WEIGHTED-VOTE NEAREST NEIGHBOR CLASSIFICATION
Mohamed Sordo, Òscar Celma, Dmitry Bogdanov · 2011
In this long abstract, we present an algorithm for automatically annotating music with tags that is fast, scalable and relatively easy to implement. It uses acoustic similarity for propagating tags among audio items. The algorithm makes use of a variety of acoustical features, ranging from spectral features, to rhythm, tonal and highlevel features (such as mood, genre, gender). These features are then transformed into a reduced d–dimensional space, and finally combined with tempo and semantic features. A k–Nearest Neighbor classifier — with a modified weighting function and two different distance measures — is performed in order to propose tags to new music items. 1.