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1. Pérez-García, T., Pérez-Sancho, C., Iñesta, J.M.
   "Harmonic and Instrumental Information Fusion for Musical Genre Classification"
   Proc. of. ACM Multimedia Workshop on Music and Machine Learning (MML 2010), ISBN: 978-1-60558-933-6, pp. 49--52, Florence (Italy) (2010)
   : bibtex
   Abstract:

   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.

@inproceedings {
 author = "Pérez-García, T., Pérez-Sancho, C., Iñesta, J.M.",
 title  = "Harmonic and Instrumental Information Fusion for Musical Genre Classification",
 address = "Florence (Italy)",
 booktitle = "Proc. of. ACM Multimedia Workshop on Music and Machine Learning (MML 2010)",
 isbn = "978-1-60558-933-6",
 month = "October",
 pages = "49--52",
 publisher = "ACM",
 year = "2010"
}