Bach in 2014: Music Composition with Recurrent Neural Network

@article{Liu2014BachI2,
  title={Bach in 2014: Music Composition with Recurrent Neural Network},
  author={I-Ting Liu and Bhiksha Ramakrishnan},
  journal={CoRR},
  year={2014},
  volume={abs/1412.3191}
}
We propose a framework for computer music composition that uses resilient propagation (RProp) and long short term memory (LSTM) recurrent neural network. In this paper, we show that LSTM network learns the structure and characteristics of music pieces properly by demonstrating its ability to recreate music. We also show that predicting existing music using RProp outperforms Back propagation through time (BPTT). 
Recent Discussions
This paper has been referenced on Twitter 13 times over the past 90 days. VIEW TWEETS
10 Citations
17 References
Similar Papers

Similar Papers

Loading similar papers…