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Browsing Departament de Tecnologies de la Informació i les Comunicacions by Author "Urbano, Julián"

Browsing Departament de Tecnologies de la Informació i les Comunicacions by Author "Urbano, Julián"

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  • Evaluation in music information retrieval
    Urbano, Julián; Schedl, Markus; Serra, Xavier (Springer, 2013)
    The field of Music Information Retrieval has always acknowledged the need for rigorous scientific evaluations, and several efforts have set out to develop and provide the infrastructure, technology and methodologies needed ...
  • Mapping by observation: building a user-tailored conducting system from spontaneous movements
    Sarasúa Berodia, Álvaro; Urbano, Julián; Gómez Gutiérrez, Emilia, 1975- (Frontiers, 2019)
    Metaphors are commonly used in interface design within Human-Computer Interaction (HCI). Interface metaphors provide users with a way to interact with the computer that resembles a known activity, giving instantaneous ...
  • MelodyShape at MIREX 2014 Symbolic Melodic Similarity
    Urbano, Julián (Music Information Retrieval Evaluation eXchange (MIREX), 2014)
    This short paper describes our three submissions to the 2014 edition of the MIREX Symbolic Melodic Similarity task. All three submissions rely on a geometric model that represents melodies as spline curves in the pitch-time ...
  • MelodyShape at MIREX 2015 Symbolic Melodic Similarity
    Urbano, Julián (Music Information Retrieval Evaluation eXchange (MIREX), 2015)
    This short paper describes our three submissions to the 2015 edition of the MIREX Symbolic Melodic Similarity task. They all rely on a geometric model that represents melodies as spline curves in the pitch-time plane. The ...
  • MIREX 2013 Symbolic melodic similarity: a geometric model supported with hybrid sequence alignment
    Urbano, Julián (Music Information Retrieval Evaluation eXchange (MIREX), 2013)
    This short paper describes our three submissions to the 2013 edition of the MIREX Symbolic Melodic Similarity task. All three submissions rely on a geometric model that represents melodies as spline curves in the pitch-time ...
  • Music information retrieval: recent developments and applications
    Schedl, Markus; Gómez Gutiérrez, Emilia, 1975-; Urbano, Julián (Now Publishers Inc., 2014)
    We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. We first ...
  • A plan for sustainable MIR evaluation
    McFee, Brian; Humphrey, Eric J.; Urbano, Julián (International Society for Music Information Retrieval (ISMIR), 2016)
    The Music Information Retrieval Evaluation eXchange (MIREX) is a valuable community service, having established standard datasets, metrics, baselines, methodologies, and infrastructure for comparing MIR methods. While MIREX ...
  • Test collection reliability: a study of bias and robustness to statistical assumptions via stochastic simulation
    Urbano, Julián (Springer, 2016)
    The number of topics that a test collection contains has a direct impact on how well the evaluation results reflect the true performance of systems. However, large collections can be prohibitively expensive, so researchers ...
  • The AcousticBrainz genre dataset: Multi-source, multi-level, multi-label, and large-scale
    Bogdanov, Dmitry; Porter, Alastair; Schreiber, Hendrik; Urbano, Julián; Oramas, Sergio (International Society for Music Information Retrieval (ISMIR), 2019)
    This paper introduces the AcousticBrainz Genre Dataset, a large-scale collection of hierarchical multi-label genre annotations from different metadata sources. It allows researchers to explore how the same music pieces ...
  • The MediaEval 2017 AcousticBrainz genre task: content-based music genre recognition from multiple sources
    Bogdanov, Dmitry; Porter, Alastair; Urbano, Julián; Schreiber, Hendrik (CEUR Workshop Proceedings, 2017)
    This paper provides an overview of the AcousticBrainz Genre Task organized as part of the MediaEval 2017 Benchmarking Initiative for Multimedia Evaluation. The task is focused on content-based music genre recognition ...
  • The MediaEval 2018 AcousticBrainz genre task: content-based music genre recognition from multiple sources
    Bogdanov, Dmitry; Porter, Alastair; Urbano, Julián; Schreiber, Hendrik (CEUR Workshop Proceedings, 2018)
    This paper provides an overview of the AcousticBrainz Genre Task organized as part of the MediaEval 2018 Benchmarking Initiative for Multimedia Evaluation. The task is focused on content-based music genre recognition ...
  • What is the effect of audio quality on the robustness of MFCCs and chroma features?
    Urbano, Julián; Bogdanov, Dmitry; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2014)
    Music Information Retrieval is largely based on descriptors computed from audio signals, and in many practical applications they are to be computed on music corpora containing audio files encoded in a variety of lossy ...

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