Skip to Main content Skip to Navigation
Book sections

Anticipatory Model of Musical Style Imitation using Collaborative and Competitive Reinforcement Learning

Abstract : The role of expectation in listening and composing music has drawn much attention in music cognition since about half a century ago. In this paper, we provide a first attempt to model some aspects of musical expectation specifically pertained to short-time and working memories, in an anticipatory framework. In our proposal Anticipation is the mental realization of possible predicted actions and their effect on the perception of the world at an instant in time. We demonstrate the model in applications to automatic improvisation and style imitation. The proposed model, based on cognitive foundations of musical expectation, is an active model using reinforcement learning techniques with multiple agents that learn competitively and in collaboration. We show that compared to similar models, this anticipatory framework needs little training data and demonstrate complex musical behavior such as long-term planning and formal shapes as a result of the anticipatory architecture. We provide sample results and discuss further research.
Complete list of metadata

Cited literature [30 references]  Display  Hide  Download

https://hal.inria.fr/hal-00839073
Contributor : Arshia Cont <>
Submitted on : Thursday, June 27, 2013 - 11:11:40 AM
Last modification on : Tuesday, July 13, 2021 - 2:17:00 PM
Long-term archiving on: : Saturday, September 28, 2013 - 4:16:18 AM

File

ArshiaCont_ABIALS06_Chapter.pd...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00839073, version 1

Citation

Arshia Cont, Shlomo Dubnov, Gerard Assayag. Anticipatory Model of Musical Style Imitation using Collaborative and Competitive Reinforcement Learning. Butz M.V. and Sigaud O. and Pezzulo G. and Baldassarre G. Anticipatory Behavior in Adaptive Learning Systems, 4520, Springer Verlag, pp.285-306, 2007, Lecture Notes in Computer Science / Artificial Intelligence (LNAI), 978-3-540-74261-6. ⟨hal-00839073⟩

Share

Metrics

Record views

260

Files downloads

719