GTZAN Music Genre Classification

GTZAN consists of 100 30-second recording excerpts in each of 10 categories, and is the most-used public dataset in music information retrieval (MIR) research. Following Kereliuk et al. (2015), we use the "fault-filtered" partitioning version of GTZAN, which is constructed by hand to include 443/197/290 excerpts. This version of database could be found and downloaded from here.

Citations

@article{kereliuk2015deep,
  title={Deep learning and music adversaries},
  author={Kereliuk, Corey and Sturm, Bob L and Larsen, Jan},
  journal={IEEE Transactions on Multimedia},
  volume={17},
  number={11},
  pages={2059--2071},
  year={2015},
  publisher={IEEE}
}

@article{sturm2014state,
  title={The state of the art ten years after a state of the art: Future research in music information retrieval},
  author={Sturm, Bob L},
  journal={Journal of new music research},
  volume={43},
  number={2},
  pages={147--172},
  year={2014},
  publisher={Taylor \& Francis}
}

@article{tzanetakis2002musical,
  title={Musical genre classification of audio signals},
  author={Tzanetakis, George and Cook, Perry},
  journal={IEEE Transactions on speech and audio processing},
  volume={10},
  number={5},
  pages={293--302},
  year={2002},
  publisher={IEEE}
}