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For an up-to-date list of publications from the Music Technology Group see the
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Key Estimation in Electronic Dance Music
| Title | Key Estimation in Electronic Dance Music |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Conference Name | 38th European Conference on Information Retrieval |
| Authors | Faraldo, Á. , Gómez E. , Jordà S. , & Herrera P. |
| Pagination | 335-347 |
| Conference Start Date | 20/03/2016 |
| Publisher | Springer-Verlag |
| Conference Location | Padua, Italy |
| ISBN Number | 9783319306711 |
| Abstract | In 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 document | http://hdl.handle.net/10230/33060 |
| Final publication | 10.1007/978-3-319-30671-1 |
