Charles Martin

Guest, Research Group for Robotics and Intelligent Systems, University of Oslo

MishMash role: Council member

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.

Music Technology

Latest results

1. Book chapter, 2020

   Towards Playing in the 'Air': Modeling Motion-Sound Energy Relationships in Electric Guitar Performance Using Deep Neural Networks

2. PhD thesis, 2020

   Legging It: An Evolutionary Approach to Morphological Adaptation for a Real-World Quadruped Robot

3. Conference lecture, 2020

   Towards Movement Generation with Audio Features

4. Book chapter, 2019

   Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks

5. Book chapter, 2019

   A Physical Intelligent Instrument using Recurrent Neural Networks

6. Book chapter, 2019

   An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks

7. Book chapter, 2019

   Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing

8. Conference poster, 2019

   Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing

9. Conference poster, 2019

   Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing

10. Journal article, 2019

    Comparing models for harmony prediction in an interactive audio looper

More results in NVA…