references.bib

@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}
}

@article{review,
	title={Content-based music information retrieval (cb-mir) and its applications toward the music industry: A review},
	author={Murthy, YV and Koolagudi, Shashidhar G},
	journal={ACM Computing Surveys (CSUR)},
	volume={51},
	number={3},
	pages={45},
	year={2018},
	publisher={ACM}
}

@article{featuresummary,
	title={Ref-196 Automatic genre classification of music content: a survey},
	author={Scaringella, Nicolas and Zoia, Giorgio and Mlynek, Daniel},
	journal={IEEE Signal Processing Magazine},
	volume={23},
	number={2},
	pages={133--141},
	year={2006},
	publisher={IEEE}
}

@article{fu2010survey,
	title={A survey of audio-based music classification and annotation},
	author={Fu, Zhouyu and Lu, Guojun and Ting, Kai Ming and Zhang, Dengsheng},
	journal={IEEE transactions on multimedia},
	volume={13},
	number={2},
	pages={303--319},
	year={2010},
	publisher={IEEE}
}
@inproceedings{maddage2004singer,
	title={Singer identification based on vocal and instrumental models},
	author={Maddage, Namunu Chinthaka and Xu, Changsheng and Wang, Ye},
	booktitle={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
	volume={2},
	pages={375--378},
	year={2004},
	organization={IEEE}
}

@inproceedings{jeong2016learning,
	title={Learning Temporal Features Using a Deep Neural Network and its Application to Music Genre Classification.},
	author={Jeong, Il-Young and Lee, Kyogu},
	booktitle={Ismir},
	pages={434--440},
	year={2016}
}

@article{bergstra2006aggregate,
	title={Aggregate features and a da b oost for music classification},
	author={Bergstra, James and Casagrande, Norman and Erhan, Dumitru and Eck, Douglas and K{\'e}gl, Bal{\'a}zs},
	journal={Machine learning},
	volume={65},
	number={2-3},
	pages={473--484},
	year={2006},
	publisher={Springer}
}

@article{huang2014music,
	title={Music genre classification based on local feature selection using a self-adaptive harmony search algorithm},
	author={Huang, Yin-Fu and Lin, Sheng-Min and Wu, Huan-Yu and Li, Yu-Siou},
	journal={Data \& Knowledge Engineering},
	volume={92},
	pages={60--76},
	year={2014},
	publisher={Elsevier}
}

@article{klc2,
	title={Automatic musical pattern feature extraction using convolutional neural network},
	author={Li, Tom LH and Chan, Antoni B and Chun, Andy HW},
	journal={Genre},
	volume={10},
	pages={1x1},
	year={2010}
}

@inproceedings{histogram,
	title={Music genre recognition using spectrograms},
	author={Costa, Yandre MG and Oliveira, Luiz S and Koericb, Alessandro L and Gouyon, Fabien},
	booktitle={2011 18th International Conference on Systems, Signals and Image Processing},
	pages={1--4},
	year={2011},
	organization={IEEE}
}
@article{deeplearning,
	title={Deep learning},
	author={LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey},
	journal={nature},
	volume={521},
	number={7553},
	pages={436},
	year={2015},
	publisher={Nature Publishing Group}
}

@article{costa2012music,
	title={Music genre classification using LBP textural features},
	author={Costa, Yandre MG and Oliveira, LS and Koerich, Alessandro L and Gouyon, Fabien and Martins, JG},
	journal={Signal Processing},
	volume={92},
	number={11},
	pages={2723--2737},
	year={2012},
	publisher={Elsevier}
}
@inproceedings{costa2013music,
	title={Music genre recognition using gabor filters and lpq texture descriptors},
	author={Costa, Yandre and Oliveira, Luiz and Koerich, Alessandro and Gouyon, Fabien},
	booktitle={Iberoamerican congress on pattern recognition},
	pages={67--74},
	year={2013},
	organization={Springer}
}
@article{nanni2016combining,
	title={Combining visual and acoustic features for music genre classification},
	author={Nanni, Loris and Costa, Yandre MG and Lumini, Alessandra and Kim, Moo Young and Baek, Seung Ryul},
	journal={Expert Systems with Applications},
	volume={45},
	pages={108--117},
	year={2016},
	publisher={Elsevier}
}
@inproceedings{tang2018music,
	title={Music genre classification using a hierarchical long short term memory (LSTM) model},
	author={Tang, Chun Pui and Chui, Ka Long and Yu, Ying Kin and Zeng, Zhiliang and Wong, Kin Hong},
	booktitle={Third International Workshop on Pattern Recognition},
	volume={10828},
	pages={108281B},
	year={2018},
	organization={International Society for Optics and Photonics}
}
@inproceedings{pachet2000taxonomy,
	title={A taxonomy of musical genres},
	author={Pachet, Fran{\c{c}}ois and Cazaly, Daniel},
	booktitle={Content-Based Multimedia Information Access-Volume 2},
	pages={1238--1245},
	year={2000},
	organization={LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE}
}
@article{sturm2013gtzan,
	title={The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use},
	author={Sturm, Bob L},
	journal={arXiv preprint arXiv:1306.1461},
	year={2013}
}
@inproceedings{piczak2015environmental,
	title={Environmental sound classification with convolutional neural networks},
	author={Piczak, Karol J},
	booktitle={2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)},
	pages={1--6},
	year={2015},
	organization={IEEE}
}
@article{bahuleyan2018music,
	title={Music genre classification using machine learning techniques},
	author={Bahuleyan, Hareesh},
	journal={arXiv preprint arXiv:1804.01149},
	year={2018}
}

@article{PhysRevLett.110.044301,
  title = {Human Time-Frequency Acuity Beats the Fourier Uncertainty Principle},
  author = {Oppenheim, Jacob N. and Magnasco, Marcelo O.},
  journal = {Phys. Rev. Lett.},
  volume = {110},
  issue = {4},
  pages = {044301},
  numpages = {5},
  year = {2013},
  month = {Jan},
  publisher = {American Physical Society},
  doi = {10.1103/PhysRevLett.110.044301},
  url = {https://link.aps.org/doi/10.1103/PhysRevLett.110.044301}
}

@book{muller2015fundamentals,
  title={Fundamentals of music processing: Audio, analysis, algorithms, applications},
  author={M{\"u}ller, Meinard},
  year={2015},
  publisher={Springer}
}

@inproceedings{szegedy2015going,
  title={Going deeper with convolutions},
  author={Szegedy, Christian and Liu, Wei and Jia, Yangqing and Sermanet, Pierre and Reed, Scott and Anguelov, Dragomir and Erhan, Dumitru and Vanhoucke, Vincent and Rabinovich, Andrew},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1--9},
  year={2015}
}

@article{marchand2016extended,
  title={The extended ballroom dataset},
  author={Marchand, Ugo and Peeters, Geoffroy},
  year={2016}
}
@inproceedings{mcfee2015librosa,
  title={librosa: Audio and music signal analysis in python},
  author={McFee, Brian and Raffel, Colin and Liang, Dawen and Ellis, Daniel PW and McVicar, Matt and Battenberg, Eric and Nieto, Oriol},
  booktitle={Proceedings of the 14th python in science conference},
  volume={8},
  year={2015}
}