Towards a Deep Improviser: a prototype deep learning post-tonal free music generator-Reference-Cited by-同舟云学术

Towards a Deep Improviser: a prototype deep learning post-tonal free music generator

Published:2018-10-15 Issue:4 Volume:32 Page:969-979
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Dean Roger T.^ORCID,Forth Jamie

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3765-x.pdf

Reference47 articles.

1. Chew E (2005) Regards on two regards by Messiaen: post-tonal music segmentation using pitch context distances in the spiral array. J New Music Res 34(4):341–354

2. Dean RT, Pearce MT (2016) Algorithmically-generated corpora that use serial compositional principles can contribute to the modeling of sequential pitch structure in non-tonal music. Empir Musicol Rev 11(1):27–46

3. Jost E (1974) Free jazz, English edn. Universal, Graz

4. Bailey D (1992) Improvisation, its nature and practice in music, revised edition. British Library (first published 1980), London

5. Pressing J (2002) Free Jazz and the avant-garde. In: Cooke M, Horn D (eds) The Cambridge companion to jazz. Cambridge University Press, Cambridge, pp 202–216

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