Music Genre Classification via Joint Sparse Low-Rank Representation of Audio Features

@article{Panagakis2014MusicGC,
  title={Music Genre Classification via Joint Sparse Low-Rank Representation of Audio Features},
  author={Yannis Panagakis and Constantine Kotropoulos and Gonzalo R. Arce},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2014},
  volume={22},
  pages={1905-1917}
}
A novel framework for music genre classification, namely the joint sparse low-rank representation (JSLRR) is proposed in order to: 1) smooth the noise in the test samples, and 2) identify the subspaces that the test samples lie onto. An efficient algorithm is proposed for obtaining the JSLRR and a novel classifier is developed, which is referred to as the JSLRR-based classifier. Special cases of the JSLRR-based classifier are the joint sparse representation-based classifier and the low-rank… CONTINUE READING
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