In fleeting visions: Deep neural music fickle play

Shlomo Dubnov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We describe a series of short music pieces that is generated in a semi-improvised manner by a computer, using deep representations and temporal memory model constructed from learning a corpus of piano works by Sergei Prokofiev. Inspired by Prokofiev's piece of a similar name, this work explores imaginative capabilities of generative music machine through a series of passing-by sonic visions triggered by fleeting activations of the underlying musical network from a musician performer input. Unlike most other common machine learning and neural music compositions that explore stylistic imitation, the impetus here is to provide a rainbow of unimagined possibilities enabling creative human intervention and interaction with a complex system, realized in a series of improvisations, each with a different form, texture and character.

Original languageEnglish
Title of host publicationC and C 2019 - Proceedings of the 2019 Creativity and Cognition
PublisherAssociation for Computing Machinery, Inc
Pages502-504
Number of pages3
ISBN (Electronic)9781450359177
DOIs
StatePublished - 13 Jun 2019
Externally publishedYes
Event12th ACM Creativity and Cognition Conference, C and C 2019 - San Diego, United States
Duration: 23 Jun 201926 Jun 2019

Publication series

NameC and C 2019 - Proceedings of the 2019 Creativity and Cognition

Conference

Conference12th ACM Creativity and Cognition Conference, C and C 2019
Country/TerritoryUnited States
CitySan Diego
Period23/06/1926/06/19

Keywords

  • Deep neural networks
  • Machine improvisation
  • Prokofiev
  • Visions fugitives

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

Fingerprint

Dive into the research topics of 'In fleeting visions: Deep neural music fickle play'. Together they form a unique fingerprint.

Cite this