Autor:	Ackerman, Margareta, Loker, David
Rok vydání:	2016
Předmět:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Multimedia Computer Science - Sound
Druh dokumentu:	Working Paper
Popis:	This paper introduces ALYSIA: Automated LYrical SongwrIting Application. ALYSIA is based on a machine learning model using Random Forests, and we discuss its success at pitch and rhythm prediction. Next, we show how ALYSIA was used to create original pop songs that were subsequently recorded and produced. Finally, we discuss our vision for the future of Automated Songwriting for both co-creative and autonomous systems.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1612.01058 Zobrazit plný text záznamu View this record from Arxiv