Automatic Musical Genre Classification Using a Flexible Approach

Barbedo JGA, Lopes A. Automatic Musical Genre Classification Using a Flexible Approach. J Audio Eng Soc. 2008;56(7/8):560-568. Available from: https://aes.org/publications/elibrary-page/?id=14400

@article{Barbedo2008_14400,
  author = {Barbedo, Jayme Garcia Arnal and Lopes, Amauri},
  title = {{Automatic Musical Genre Classification Using a Flexible Approach}},
  journal = {Journal of the Audio Engineering Society},
  volume = {56},
  number = {7/8},
  pages = {560--568},
  year = {2008},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14400}
}

TY  - JOUR
TI  - Automatic Musical Genre Classification Using a Flexible Approach
AU  - Barbedo, Jayme Garcia Arnal
AU  - Lopes, Amauri
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 56
IS  - 7/8
SP  - 560
EP  - 568
PY  - 2008
DA  - 2008/07/06
UR  - https://aes.org/publications/elibrary-page/?id=14400
PB  - Audio Engineering Society
LA  - en
AB  - An automated method for classifying music signals into genres is proposed. Up to three genres are assigned to each example along with a measure of the degree of influence. The method is based on a structure formed by taxonomy of four hierarchical layers, with 29 genres in the lowest layer and 10 target genres in the higher layers. In more than 77% of the cases there was successful classification. The computational effort is sufficiently low that this method could be used in real time.
ER  -