Tonality Estimation in Electronic Dance Music a Computational and Musically Informed Examination
Tonality Estimation in Electronic Dance Music A Computational and Musically Informed Examination Ángel Faraldo Pérez TESI DOCTORAL UPF / 2017 Thesis Directors: Dr. Sergi Jordà Puig Music Technology Group Department of Information and Communication Technologies Universitat Pompeu Fabra, Barcelona, Spain Dissertation submitted to the Department of Information and Communication Tech- nologies of Universitat Pompeu Fabra in partial fulfilment of the requirements for the degree of DOCTOR PER LA UNIVERSITAT POMPEU FABRA Copyright c 2017 by Ángel Faraldo Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Music Technology Group (http://mtg.upf.edu), Department of Information and Communication Tech- nologies (http://www.upf.edu/dtic), Universitat Pompeu Fabra (http://www.upf.edu), Barcelona, Spain. The doctoral defence was held on ......................... at the Universitat Pompeu Fabra and scored as ........................................................... Dr. Sergi Jordà Puig (Thesis Supervisor) Universitat Pompeu Fabra (UPF), Barcelona, Spain Dr. Agustín Martorell Domínguez (Thesis Committee Member) Universitat Pompeu Fabra (UPF), Barcelona, Spain Dr. Gianni Ginesi (Thesis Committee Member) Escola Superior de Musica de Catalunya (ESMUC), Barcelona, Spain Dr. Anja Volk (Thesis Committee Member) Universiteit Utrecht, The Netherlands This thesis has been carried out at the Music Technology Group (MTG) of Universitat Pompeu Fabra in Barcelona, Spain, from January 2014 to November 2017, supervised by Dr. Sergi Jordà Puig and Prof. Perfecto Herrera Boyer. My work has been supported by the Department of Information and Communication Technologies (DTIC) PhD fellowship (2015-17), Universitat Pompeu Fabra, and the European Research Council under the European Union’s 7th Framework Program, as part of the GiantSteps project (FP7-ICT-2013-10, grant agreement 610591).
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