1. Pérez-García, T., Pérez-Sancho, C., Iñesta, J.M.

, vol. Proc. of. ACM Multimedia Workshop on Music and Machine Learning (MML 2010), pp. 49--52. Florence (Italy) (2010)

This paper presents a musical genre classification system based on the combination of two kinds of information of very different nature: the instrumentation information contained in a MIDI file (metadata) and the chords that provide the harmonic structure of the musical score stored in that file (content). The fusion of these two information sources gives a single feature vector that represents the file and to which classification techniques usually utilized for text categorization tasks are applied. The classification task is performed under a probabilistic approach that has improved the results previously obtained for the same data using the instrumental or the chord information independently.