Towards End-to-End Raw Audio Music Synthesis

Proceedings of the 27th International Conference on Artificial Neural Networks (ICANN 2018) 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)},
 	 number = {},
 	 volume = {},
 	 pages = {137-146},
 	 year = {2018},
 	 month = {Oct},
 	 publisher = {Springer International Publishing},
 	 doi = {10.1007/978-3-030-01424-7_14}, 
 }