Bach in 2014: Music Composition with Recurrent Neural Network
Artificial Intelligence
2014-12-16 v2 Neural and Evolutionary Computing
Abstract
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).
Keywords
Cite
@article{arxiv.1412.3191,
title = {Bach in 2014: Music Composition with Recurrent Neural Network},
author = {I-Ting Liu and Bhiksha Ramakrishnan},
journal= {arXiv preprint arXiv:1412.3191},
year = {2014}
}