Work

A framework for Anticipatory Machine Improvisation and Style Imitation

Year: 2006

Type: conference-paper

Abstract: We present a first step towards anticipatory machine improvisation systems. The proposed system, based on fundamentals of music cognition, is a multi-agent memory-based collaborative and competitive reinforcement learning architecture, capable of live interaction with a musician or a music score. Results demonstrate the ability to model long-term stylistic planning and need for much less training data than reported in previous works.

Source: HAL

Authors: Cont, Arshia, Dubnov, Shlomo, Assayag, Gerard

Institutions: Institut de Recherche et Coordination Acoustique Musique, University of California San Diego, Sciences et Technologies de la Musique et du Son

Language: English

Topic: Music Technology and Sound Studies

Subfield: Music

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2232223280

FWCI: 2.25

Cites: 22

Cited by: 10

Related to: 10