Browsing by Author "Fuhrmann, Ferdinand"

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  • Automatic musical instrument recognition from polyphonic music audio signals
    Fuhrmann, Ferdinand (Universitat Pompeu Fabra, 2012-01-25)
    En aquesta tesi presentem un mètode general per al reconeixement automàtic d’instruments musicals partint d’un senyal d’àudio. A diferència de molts enfocs relacionats, el nostre evita restriccions artificials o artificioses ...
  • Content-based music recommendation based on user preference examples
    Bogdanov, Dmitry; Haro Berois, Martín; Fuhrmann, Ferdinand; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (CEUR Workshop Proceedings, 2010)
    Recommending relevant and novel music to a user is one of the central applied problems in music information research. In the present work we propose three content-based approaches to this task. Starting from an explicit ...
  • A Content-based system for music recommendation and visualization of user preferences working on semantic notions
    Bogdanov, Dmitry; Haro Berois, Martín; Fuhrmann, Ferdinand; Xambó, Anna; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (Institute of Electrical and Electronics Engineers (IEEE), 2011)
    The amount of digital music has grown unprecedentedly during the last years and requires the development of effective methods for search and retrieval. In particular, contentbased preference elicitation for music recommendation ...
  • Detecting solo phrases in music using spectral and pitch-related descriptors
    Fuhrmann, Ferdinand; Herrera Boyer, Perfecto, 1964-; Serra, Xavier (Taylor & Francis (Routledge), 2009)
    In this paper we present an algorithm for segmenting musical audio data. Our aim is to identify solo instrument phrases in polyphonic music. We extract relevant features from the audio to be input into our algorithm. A ...
  • The Musical Avatar: a visualization of musical preferences by means of audio content description
    Haro Berois, Martín; Xambó, Anna; Fuhrmann, Ferdinand; Bogdanov, Dmitry; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (ACM Association for Computer Machinery, 2010)
    The music we like (i.e. our musical preferences) encodes and communicates key information about ourselves. Depicting such preferences in a condensed and easily understandable way is very appealing, especially considering ...