Low Cost Algorithm for Online Segmentation of Electronic Dance Music

Aguilera E, Lopez JJ, Gutierrez-Parera P, Hernandez C. Low Cost Algorithm for Online Segmentation of Electronic Dance Music. In: AES Convention 144. Audio Engineering Society; 2018. Paper 10027. Available from: https://aes.org/publications/elibrary-page/?id=19423

@inproceedings{Aguilera2018_19423,
  author = {Aguilera, Emanuel and Lopez, Jose J. and Gutierrez-Parera, Pablo and Hernandez, Carlos},
  title = {{Low Cost Algorithm for Online Segmentation of Electronic Dance Music}},
  booktitle = {AES Convention 144},
  note = {Paper 10027},
  year = {2018},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19423}
}

TY  - CPAPER
TI  - Low Cost Algorithm for Online Segmentation of Electronic Dance Music
AU  - Aguilera, Emanuel
AU  - Lopez, Jose J.
AU  - Gutierrez-Parera, Pablo
AU  - Hernandez, Carlos
T2  - AES Convention 144
M1  - Paper 10027
PY  - 2018
DA  - 2018/05/06
UR  - https://aes.org/publications/elibrary-page/?id=19423
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -