Á. Faraldo, S. Jordà, and P. Herrera, "A Multi-Profile Method for Key Estimation in EDM," Paper P2-5, (2017 June.). doi:
Á. Faraldo, S. Jordà, and P. Herrera, "A Multi-Profile Method for Key Estimation in EDM," Paper P2-5, (2017 June.). doi:
Abstract: 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.
@article{faraldo2017a,
author={faraldo, ángel and jordà, sergi and herrera, perfecto},
journal={journal of the audio engineering society},
title={a multi-profile method for key estimation in edm},
year={2017},
volume={},
number={},
pages={},
doi={},
month={june},}
@article{faraldo2017a,
author={faraldo, ángel and jordà, sergi and herrera, perfecto},
journal={journal of the audio engineering society},
title={a multi-profile method for key estimation in edm},
year={2017},
volume={},
number={},
pages={},
doi={},
month={june},
abstract={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.},}
TY - paper
TI - A Multi-Profile Method for Key Estimation in EDM
SP -
EP -
AU - Faraldo, Ángel
AU - Jordà, Sergi
AU - Herrera, Perfecto
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - June 2017
TY - paper
TI - A Multi-Profile Method for Key Estimation in EDM
SP -
EP -
AU - Faraldo, Ángel
AU - Jordà, Sergi
AU - Herrera, Perfecto
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - June 2017
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.
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.
Authors:
Faraldo, Ángel; Jordà, Sergi; Herrera, Perfecto
Affiliation:
Universitat Pompeu Fabra, Barcelona, Spain
AES Conference:
2017 AES International Conference on Semantic Audio (June 2017)
Paper Number:
P2-5
Publication Date:
June 13, 2017Import into BibTeX
Subject:
Semantic Audio
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=18775
