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, ...
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.
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