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.

Authors: Aguilera, Emanuel; Lopez, Jose J.; Gutierrez-Parera, Pablo; Hernandez, Carlos
Affiliation: Universitat Politecnica de Valencia, Valencia, Spain
AES Convention: 144 (May 2018) Paper Number: 10027
Publication Date: May 14, 2018
Subject: Posters: Applications

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