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MicroJam: An App for Sharing Tiny Touch-Screen Performances 
Martin, Charles Patrick; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
MicroJam is a mobile app for sharing tiny touch-screen performances. Mobile applications that streamline creativity and social interaction have enabled a very broad audience to develop their own creative practices. While ...
Exploring Social Mobile Music with Tiny Touch-Screen Performances 
Martin, Charles Patrick; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
Touch-screen musical performance has become commonplace since the widespread adoption of mobile devices such as smartphones and tablets. However, mobile digital musical instruments are rarely designed to emphasise collaborative ...
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks 
Martin, Charles Patrick; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper is about creating digital musical instruments where a predictive neural network model is integrated into the interactive system. Rather than predicting symbolic music (e.g., MIDI notes), we suggest that predicting ...
Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks 
Faitas, Andrei; Baumann, Synne Engdahl; Næss, Torgrim Rudland; Tørresen, Jim; Martin, Charles Patrick (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Generating convincing music via deep neural networks is a challenging problem that shows promise for many applications including interactive musical creation. One part of this challenge is the problem of generating convincing ...
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing 
Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
If robots are to become ubiquitous, they will need to be able to adapt to complex and dynamic environments. Robots that can adapt their bodies while deployed might be flexible and robust enough to meet this challenge. ...
Real-world evolution adapts robot morphology and control to hardware limitations 
Nygaard, Tønnes Frostad; Martin, Charles Patrick; Samuelsen, Eivind; Tørresen, Jim; Glette, Kyrre (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
For robots to handle the numerous factors that can afect them in the real world, they must adapt to changes and unexpected events. Evolutionary robotics tries to solve some of these issues by automatically optimizing a ...
Data Driven Analysis of Tiny Touchscreen Performance with MicroJam 
Martin, Charles Patrick; Tørresen, Jim (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
The widespread adoption of mobile devices, such as smartphones and tablets, has made touchscreens a common interface for musical performance. While new mobile music instrument have been investigated from design and user ...
Towards Playing in the 'Air': Modeling Motion-Sound Energy Relationships in Electric Guitar Performance Using Deep Neural Networks 
Erdem, Cagri; Lan, Qichao; Fuhrer, Julian; Martin, Charles Patrick; Tørresen, Jim; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2020)
In acoustic instruments, sound production relies on the interaction between physical objects. Digital musical instruments, on the other hand, are based on arbitrarily designed action--sound mappings. This paper describes ...
 
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Date Issued2020 (1)2019 (4)2018 (1)2017 (2)Document TypeBokkapittel (6)Tidsskriftartikkel (2)Author
Martin, Charles Patrick (8)
Tørresen, Jim (8)
Glette, Kyrre (2)Nygaard, Tønnes Frostad (2)Baumann, Synne Engdahl (1)... View MorePeer Reviewed
Peer reviewed (8)
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