A Multi-Profile Method for Key Estimation in EDM

Faraldo Á, Jordà S, Herrera P. A Multi-Profile Method for Key Estimation in EDM. In: AES Conference: 2017 AES International Conference on Semantic Audio. Audio Engineering Society; 2017. Paper P2-5. Available from: https://aes.org/publications/elibrary-page/?id=18775

@inproceedings{Faraldo2017_18775,
  author = {Faraldo, Ángel and Jordà, Sergi and Herrera, Perfecto},
  title = {{A Multi-Profile Method for Key Estimation in EDM}},
  booktitle = {AES Conference: 2017 AES International Conference on Semantic Audio},
  note = {Paper P2-5},
  year = {2017},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18775}
}

TY  - CPAPER
TI  - A Multi-Profile Method for Key Estimation in EDM
AU  - Faraldo, Ángel
AU  - Jordà, Sergi
AU  - Herrera, Perfecto
T2  - AES Conference: 2017 AES International Conference on Semantic Audio
M1  - Paper P2-5
PY  - 2017
DA  - 2017/06/06
UR  - https://aes.org/publications/elibrary-page/?id=18775
PB  - Audio Engineering Society
LA  - en
AB  - Key detection in electronic dance music is important for producers and DJ's who want to mix their tracks harmonically or organise their music collection by tonal content. In this paper, we present an algorithm that improves the performance of an existing method by introducing a system of multiple profiles, addressing difficult minor tracks as well as possibly amodal ones. After the explanation of our method, we use three independent datasets of electronic dance music to evaluate its performance, comparing it to other academic algorithms and commercially available solutions.
ER  -