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Visual content animation for Electronic Dance Music (EDM) events is an emerging and demanded but costly service for the industry. In this paper an algorithm for automatic EDM structure segmentation is presented, suitable for the automation of video and 3D animation synchronized to the audio content. The algorithm implements low cost time/frequency features smoothed with a novel algorithm, resulting in a low latency output. Segmentation stage is based on a multiple threshold algorithm specifically tuned to EDM. It has been implemented in C performing in real-time and has been successfully integrated in a real-time commercial 3D graphics engine with great results over EDM music sets.
Author (s): Aguilera, Emanuel;
Lopez, Jose J.;
Gutierrez-Parera, Pablo;
Hernandez, Carlos;
Affiliation:
Universitat Politecnica de Valencia, Valencia, Spain
(See document for exact affiliation information.)
AES Convention: 144
Paper Number:10027
Publication Date:
2018-05-06
Session subject:
Posters: Applications
DOI:
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Aguilera, Emanuel; Lopez, Jose J.; Gutierrez-Parera, Pablo; Hernandez, Carlos; 2018; Low Cost Algorithm for Online Segmentation of Electronic Dance Music [PDF]; Universitat Politecnica de Valencia, Valencia, Spain; Paper 10027; Available from: https://aes.org/publications/elibrary-page/?id=19423
Aguilera, Emanuel; Lopez, Jose J.; Gutierrez-Parera, Pablo; Hernandez, Carlos; Low Cost Algorithm for Online Segmentation of Electronic Dance Music [PDF]; Universitat Politecnica de Valencia, Valencia, Spain; Paper 10027; 2018 Available: https://aes.org/publications/elibrary-page/?id=19423
@inproceedings{Aguilera2018low,
title={{Low Cost Algorithm for Online Segmentation of Electronic Dance Music}},
author={Aguilera, Emanuel and Lopez, Jose J. and Gutierrez-Parera, Pablo and Hernandez, Carlos},
year={2018},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 10027; AES Convention 144; May 2018},
number={10027},
organization={AES},
}
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