Music genre classification using self-taught learning via sparse coding

  title={Music genre classification using self-taught learning via sparse coding},
  author={Konstantin Markov and Tomoko Matsui},
  journal={2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
Availability of large amounts of raw unlabeled data has sparked the recent surge in semi-supervised learning research. In most works, however, it is assumed that labeled and unlabeled data come from the same distribution. This restriction is removed in the self-taught learning approach where unlabeled data can be different, but nevertheless have similar structure. First, a representation is learned from the unlabeled data via sparse coding and then it is applied to the labeled data used for… CONTINUE READING
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