Genre classification of OPM songs through the use of musical features

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Archival Material/Manuscript

Publication Date

2014

Abstract

A dataset is built into a model for the classification of OPM songs into ten specific genres. Low-level musical features in the form of digital signals, like Spectral Centroid, Mel-Frequency Cepstral Coefficients among others, were collected to build the data set. A collection of 1000 songs, having 100 instances as representatives for each of the 10 genres from songs sang and composed by Filipino artists were used as data for the features in building the model. Different classifiers where employed to test and see which musical features specific for Filipino music are highlighted and can be attributed for further study. A multi-layer perceptron was selected most optimal for the model building. Additional features, genres have yet to be incorporated into the study in order to produce a set of more well-refined results.

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Disciplines

Software Engineering

Keywords

Perceptrons; Philippines—Songs and music

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