Abstract
In this paper we study key estimation in electronic dance music, an umbrella term referring to a variety of electronic music subgenres 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 modifications of the method described. We create new key profiles combining 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.
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Notes
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We take this term from Tagg [26] to refer to European Classical Music of the so-called common practice repertoire, on which most treatises on harmony are based.
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The Music Information Retrieval Evaluation eXchange (MIREX) is an international committee born to evaluate advances in Music Information Retrieval among different research centres, by quantitatively comparing algorithm performance using test sets that are not available beforehand to participants.
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After informal testing, we decided to use the following settings in all the experiments reported: mix-down to mono; sampling rate: 44,100 Hz.; window size: 4,096 hanning; hop size: 16,384; frequency range: 25–3,500 Hz.; PCP size: 36 bins; weighting size: 1 semitone; similarity: cosine distance.
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Faraldo, Á., Gómez, E., Jordà, S., Herrera, P. (2016). Key Estimation in Electronic Dance Music. In: Ferro, N., et al. Advances in Information Retrieval. ECIR 2016. Lecture Notes in Computer Science(), vol 9626. Springer, Cham. https://doi.org/10.1007/978-3-319-30671-1_25
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