Key Estimation in Electronic Dance Music

TitleKey Estimation in Electronic Dance Music
Publication TypeConference Paper
Year of Publication2016
Conference Name38th European Conference on Information Retrieval
AuthorsFaraldo, Á., Gómez E., Jordà S., & Herrera P.
Pagination335-347
Conference Start Date20/03/2016
PublisherSpringer-Verlag
Conference LocationPadua, Italy
ISBN Number9783319306711
KeywordsElectronic Dance Music, Key Profiles, Music Information Retrieval. Computational Key Estimation, music theory, tonality
AbstractIn this paper we study key estimation in electronic dance music, an umbrella term referring to a variety of electronic music sub- genres intended for dancing at nightclubs and raves. We start by defining notions of tonality and key before outlining the basic architecture of a template-based key estimation method. Then, we report on the tonal characteristics of electronic dance music, in order to infer possible mod- ifications of the method described. We create new key profiles combin- ing these observations with corpus analysis, and add two pre-processing stages to the basic algorithm. We conclude by comparing our profiles to existing ones, and testing our modifications on independent datasets of pop and electronic dance music, observing interesting improvements in the performance or our algorithms, and suggesting paths for future research.
preprint/postprint documenthttp://hdl.handle.net/10230/33060
Final publication10.1007/978-3-319-30671-1
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