Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning

Machine-learning models of music often exist outside the worlds of musical performance practice and abstracted from the physical gestures of musicians. In this work, we consider how a recurrent neural network (RNN) model of simple music gestures may be integrated into a physical instrument so that p...

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Principais autores:	Charles Patrick Martin, Kyrre Glette, Tønnes Frostad Nygaard, Jim Torresen
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2020-03-01
Serija:	Frontiers in Artificial Intelligence
Teme:	musical performance interface mixture density network (MDN) recurrent neural network (RNN) creativity predictive interaction
Online dostop:	https://www.frontiersin.org/article/10.3389/frai.2020.00006/full
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