Samuel Hunt Samuel.Hunt@uwe.ac.uk
Lecturer - Graduate Tutor
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
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.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | NIME 2020 |
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 |
Composing Computer Generated Music An Observational Study Using IGME The Interactive Generative Music Environment
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How can music visualisation techniques reveal different perspectives on musical structure?
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Automating algorithmic representations of musical structure using IGME: The Interactive Generative Music Environment
(2019)
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Continuation- Musical Note Prediction Through Analysis.
(-0001)
Report
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