Bsc-project:

Generating music genres using Long Short Term Memory networks

Links

• Metallica https://keunwoochoi.wordpress.com/2016/02/23/lstmetallica/
• Jazz https://jisungk.github.io/deepjazz/
• Datasets: http://www.audiocontentanalysis.org/data-sets/
• Match MIDI to songs: https://github.com/craffel/midi-dataset

1) Recurrent Neural Networks

• Recurrent Neural Networks by Efstratios Gavves, UvA: http://uvadlc.github.io/lectures/lecture9.pdf
• Recurrent Neural Networks by Fei-Fei Li, Andrej Karpathy, Justin Johnson, Stanford: slides - http://cs231n.stanford.edu/slides/winter1516_lecture10.pdf, video - https://www.youtube.com/watch?v=yCC09vCHzF8
• Deep Learning book, RNN chapter - http://www.deeplearningbook.org/contents/rnn.html
• The Unreasonable Effectiveness of Recurrent Neural Networks, blog post of Andrej Karpathy - http://karpathy.github.io/2015/05/21/rnn-effectiveness/
• Understanding LSTM Networks by Christopher Olah - http://colah.github.io/posts/2015-08-Understanding-LSTMs/

2) Theano, Keras, TensorFlow (Deep Learning Frameworks)

• Theano - http://deeplearning.net/software/theano/
• Keras - http://keras.io/
• Lasagne - https://lasagne.readthedocs.org/en/latest/
• TensorFlow - https://www.tensorflow.org/
• Gentle introduction to Theano for deep learning by Denny Britz - http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/#more-74
• Recurrent Neural Networks Tutorial, Python and Theano by Denny Britz - http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
• LSTM in Keras, examples - http://keras.io/examples/#sequence-classification-with-lstm

Recurrent Neural Networks in TensorFlow - https://www.tensorflow.org/versions/r0.7/tutorials/recurrent/index.html#recurrent-neural-networks

Possible Datasets:

• http://www.kuhmann.com/Yamaha.htm -> Classical Disklavier I-VII and Jazz Disklavier I-VI (Maybe Jazz standards as well)