Do androids dream of electric chimera?


Autoria(s): Gifford, Toby; Brown, Andrew R.
Contribuinte(s)

Sorensen, Andrew C.

Data(s)

2009

Resumo

This paper describes the use of the Chimera Architecture as the basis for a generative rhythmic improvisation system that is intended for use in ensemble contexts. This interactive soft- ware system learns in real time based on an audio input from live performers. The paper describes the components of the Chimera Architecture including a novel analysis engine that uses prediction to robustly assess the rhythmic salience of the input stream. Analytical results are stored in a hierarchical structure that includes multiple scenarios which allow ab- stracted and alternate interpretations of the current metrical context. The system draws upon this Chimera Architecture when generating a musical response. The generated rhythms are intended to have a particular ambiguity in relation to the music performance by other members of the ensemble. Ambi- guity is controlled through alternate interpretations of the Chimera. We describe an implementation of the Chimera Ar- chitecture that focuses on rhythmic material, and present and discuss initial experimental results of the software system playing along with recordings of a live performance.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/29980/

Publicador

Australasian Computer Music Association (ACMA)

Relação

http://eprints.qut.edu.au/29980/1/Gifford%26Brown_ACMC_2009.pdf

http://acma.asn.au/

Gifford, Toby & Brown, Andrew R. (2009) Do androids dream of electric chimera? In Sorensen, Andrew C. (Ed.) Improvise: The Australasian Computer Music Conference 2009, Australasian Computer Music Association (ACMA), Brisbane, pp. 56-63.

Direitos

Copyright 2009 the authors.

Fonte

Australasian CRC for Interaction Design (ACID); Creative Industries Faculty; Music & Sound

Palavras-Chave #190406 Music Composition #190407 Music Performance #algorithmic music #computer music #music perception #music representation
Tipo

Conference Paper