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Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment

Hunt, Samuel J; Mitchell, Thomas J; Nash, Chris

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Authors

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Samuel Hunt Samuel.Hunt@uwe.ac.uk
Lecturer - Graduate Tutor

Tom Mitchell Tom.Mitchell@uwe.ac.uk
Professor of Audio and Music Interaction

Chris Nash Chris.Nash@uwe.ac.uk
Senior Lecturer in Music Tech - Software Development



Abstract

Computer composed music remains a novel and challenging problem to solve. Despite an abundance of techniques and systems little research has explored how these might be useful for end-users looking to compose with generative and algorithmic music techniques. User interfaces for generative music systems are often inaccessible to non-programmers and neglect established composition workflow and design paradigms that are familiar to computer-based music composers. We have developed a system called the Interactive Generative Music Environment (IGME) that attempts to bridge the gap between generative music and music sequencing software, through an easy to use score editing interface. This paper discusses a series of user studies in which users explore generative music composition with IGME. A questionnaire evaluates the user's perception of interacting with generative music and from this provide recommendations for future generative music systems and interfaces.

Citation

Hunt, S. J., Mitchell, T. J., & Nash, C. (2020). Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment.

Conference Name NIME 2020
Conference Location Royal Birmingham Conservatoire
Start Date Jul 21, 2020
End Date Jul 25, 2020
Acceptance Date Mar 31, 2020
Online Publication Date May 21, 2020
Publication Date Jul 21, 2020
Deposit Date Sep 8, 2020
Publicly Available Date Sep 9, 2020
Series Title NIME
Keywords Generative Music, User Evaluation Methods, Computer- Supported Creativity, Sequencers and DAWs CCS Concepts , Applied computing, Sound and music computing, Human-centered computing, Empirical studies in interaction design, User interface design
Public URL https://uwe-repository.worktribe.com/output/5954774

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