On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment

On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment

Jazz improvisation on a given lead sheet with chords is an interesting scenario for studying the behaviour of artificial agents when they collaborate with humans. Specifically in jazz improvisation, the role of the accompanist is crucial for reflecting the harmonic and metric characteristics of a ja...

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Bibliographic Details
Main Authors: Kosmas Kritsis, Theatina Kylafi, Maximos Kaliakatsos-Papakostas, Aggelos Pikrakis, Vassilis Katsouros
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Artificial Intelligence
Subjects:
automatic accompaniment system
music generative system
real-time music interaction
music improvisation
machine learning
long short-term memory
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2020.508727/full

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https://www.frontiersin.org/articles/10.3389/frai.2020.508727/full

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