Computational "Drop" Detection in Modern Dance Music

Ortiz A, Leider CN. Computational "Drop" Detection in Modern Dance Music. In: AES Convention 139. Audio Engineering Society; 2015. Paper 224. Available from: https://aes.org/publications/elibrary-page/?id=17900

@inproceedings{Ortiz2015_17900,
  author = {Ortiz, Andrew and Leider, Colby N.},
  title = {{Computational "Drop" Detection in Modern Dance Music}},
  booktitle = {AES Convention 139},
  note = {Paper 224},
  year = {2015},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17900}
}

TY  - CPAPER
TI  - Computational "Drop" Detection in Modern Dance Music
AU  - Ortiz, Andrew
AU  - Leider, Colby N.
T2  - AES Convention 139
M1  - Paper 224
PY  - 2015
DA  - 2015/10/06
UR  - https://aes.org/publications/elibrary-page/?id=17900
PB  - Audio Engineering Society
LA  - en
AB  - Many of today’s popular dance music records are identifiable by a ”drop”—a section of the song that is commonly the highest in both listener-perceived and actual signal energy. In this paper we examine several computational methods for locating the exact time at which the drop occurs in a given audio sample. Various metrics are compared and contrasted based on relevant audio signal features. This technology has potential applications within automated DJ software, online music streaming services, computational ethnomusicology research, and more.
ER  -