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This paper introduces a workflow to record paired motion capture and sound of musical performances using an infrared light-based tracking system. This paper discusses example production cases ranging from short loops to full performances, addressing the production challenges and compromises, substantially different from a regular audio recording process. Motion capture is very versatile and can be applied in many disciplines including musical pedagogy, distributed performances, machine learning, and as creative assets. Paired audio-mocap data can be rendered into similar visual content for interactive virtual environments, live performances or fixed media. This extensible workflow can be adapted and extended for different purposes in musical performances to promote further research and creative content development.
Author (s): Bui, Cindy;
Genovese, Andrea;
Bradley, Trey;
Roginska, Agnieszka;
Affiliation:
New York University - Music and Audio Research Lab, NY, USA
(See document for exact affiliation information.)
AES Convention: 149
Paper Number:635
Publication Date:
2020-10-06
Session subject:
Immersive Audio
DOI:
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Bui, Cindy; Genovese, Andrea; Bradley, Trey; Roginska, Agnieszka; 2020; Multimodal Immersive Motion Capture (MIMiC): A workflow for musical performance [PDF]; New York University - Music and Audio Research Lab, NY, USA; Paper 635; Available from: https://aes.org/publications/elibrary-page/?id=20921
Bui, Cindy; Genovese, Andrea; Bradley, Trey; Roginska, Agnieszka; Multimodal Immersive Motion Capture (MIMiC): A workflow for musical performance [PDF]; New York University - Music and Audio Research Lab, NY, USA; Paper 635; 2020 Available: https://aes.org/publications/elibrary-page/?id=20921
@inproceedings{Bui2020multimodal,
title={{Multimodal Immersive Motion Capture (MIMiC): A workflow for musical performance}},
author={Bui, Cindy and Genovese, Andrea and Bradley, Trey and Roginska, Agnieszka},
year={2020},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Engineering Brief 635; AES Convention 149; October 2020},
number={635},
organization={AES},
}
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