Towards End-to-End Raw Audio Music Synthesis

Manfred Eppe , Tayfun Alpay , Stefan Wermter

Proceedings of the 27th International Conference on Artificial Neural Networks (ICANN 2018), Editors: Vera Kurkova, Yannis Manolopoulos, Lazaros Iliadis, Barbara Hammer, pages 137-146, doi: 10.1007/978-3-030-01424-7_14 - Oct 2018

Associated documents :

<p> In this paper, we address the problem of automated music synthesis using deep neural networks and ask whether neural networks are capable of realizing timing, pitch accuracy and pattern generalization for automated music generation when processing raw audio data. To this end, we present a proof of concept and build a recurrent neural network architecture capable of generalizing appropriate musical raw audio tracks. </p>

@InProceedings{EAW18, 
 	 author =  {Eppe, Manfred and Alpay, Tayfun and Wermter, Stefan},  
 	 title = {Towards End-to-End Raw Audio Music Synthesis}, 
 	 booktitle = {Proceedings of the 27th International Conference on Artificial Neural Networks (ICANN 2018)},
 	 editors = {Vera Kurkova, Yannis Manolopoulos, Lazaros Iliadis, Barbara Hammer},
 	 number = {},
 	 volume = {},
 	 pages = {137-146},
 	 year = {2018},
 	 month = {Oct},
 	 publisher = {Springer International Publishing},
 	 doi = {10.1007/978-3-030-01424-7_14}, 
 }