Browsing by Author "Faraldo Pérez, Ángel"

Sort by: Order: Results:

  • Faraldo Pérez, Ángel; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Audio Engineering Society, 2017)
    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 ...
  • Jordà Puig, Sergi; Gómez Marín, Daniel; Faraldo Pérez, Ángel; Herrera Boyer, Perfecto, 1964- (International Conference on New Interfaces for Musical Expression (NIME), 2016)
    This paper documents and discusses the process of developing a generative drumming agent built from the results of an extensive survey carried out with electronic music producers. Following the techniques of user-centered ...
  • Faraldo Pérez, Ángel; Gómez Gutiérrez, Emilia, 1975-; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Springer, 2016)
    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 ...
  • Faraldo Pérez, Ángel; Herrera Boyer, Perfecto, 1964- (2017)
    In this paper we present an interactive two-dimensional representation of musical chord progressions, integrated into a computer program that generates house music harmonic loops in MIDI format, based on a user’s input. ...
  • Faraldo Pérez, Ángel (Universitat Pompeu Fabra, 2018-03-19)
    This dissertation revolves around the task of computational key estimation in electronic dance music, upon which we perform three interrelated operations. First, we attempt to detect possible misconceptions within the task, ...
  • Knees, Peter; Faraldo Pérez, Ángel; Herrera Boyer, Perfecto, 1964-; Vogl, Richard; Böck, Sebastian; Hörschläger, Florian; Le Goff, Mickael (International Society for Music Information Retrieval (ISMIR), 2015)
    We present two new data sets for automatic evaluation of tempo estimation and key detection algorithms. In contrast to existing collections, both released data sets focus on electronic dance music (EDM). The data sets ...