Musical Genre Classification Using Global Audio Features and Traditional Classifiers

Roberto Piassi Passos Bodo

Despite the complexity of assigning genres to songs, automatic musical genre classification of large databases is of great importance for Music Information Retrieval tasks. Historically, several Machine Learning techniques were applied using audio features extracted from audio files, scores and even the lyrics of the songs.

In this talk we will present the results of experiments performed with the GTZAN dataset, using global audio features (extracted with the LibROSA library) and traditional classification algorithms (implemented by scikit-learn).

Source code:

(video presentation in portuguese)

Data e hora: 
ter, 28/03/2017 - 13:00
Auditório do CCSL