Musical Style Identification with n-Grams and Neural Networks

Authors:
Pedro P. Cruz-Alcázar;María J. Castro-Bleda
Affiliations:
Departamento de Informática de Sistemas y Computadores, Universidad Politécnica de Valencia, Valencia, Spain;Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain
Venue:
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Year:
2008

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Abstract

Musical Style Identification (MSI) aims to automatically classify music by style. It is being recently explored, mostly in the field of multimedia databases, with potential applications to content-based retrieval. But MSI may be also employed in other applications. We try to face up this challenge with two different methodologies: n-gram Models and Neural Networks. Very good results were obtained with n-grams in our previous research and we were willing to test how other Artificial Intelligence techniques performed with this task, so we began a preliminary study with Multilayer Perceptrons that is promising.