Book chapter, 2023
Charles Martin is a specialist in percussion, computer music, and interactive media from Canberra, Australia. He links percussion with electroacoustic music and other media through new technologies. In 2016, Charles joined the Engineering Prediction and Embodied Cognition (EPEC) project at the University of Oslo, where he is developing new ways to predict musical intentions and performances in smartphone apps.
Latest results
Type
Book chapter
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Book chapter, 2021
Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks
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Book chapter, 2021
Learning Embodied Sound-Motion Mappings: Evaluating AI-Generated Dance Improvisation
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Book chapter, 2020
Towards Playing in the 'Air': Modeling Motion-Sound Energy Relationships in Electric Guitar Performance Using Deep Neural Networks
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Book chapter, 2019
Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks
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Book chapter, 2019
A Physical Intelligent Instrument using Recurrent Neural Networks
Journal article
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Journal article, 2021
Real-world embodied AI through a morphologically adaptive quadruped robot
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Journal article, 2021
Environmental Adaptation of Robot Morphology and Control Through Real-world Evolution
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Journal article, 2020
Data-Driven Analysis of Tiny Touchscreen Performance with MicroJam
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Journal article, 2020
Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning