Visualitza per autor "Bogdanov, Dmitry"

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  • Fonseca, Eduardo; Gong, Rong; Bogdanov, Dmitry; Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier (Tampere University of Technology, 2017)
    This work describes our contribution to the acoustic scene classifi- cation task of the DCASE 2017 challenge. We propose a system that consists of the ensemble of two methods of different nature: a feature engineering ...
  • Porter, Alastair; Bogdanov, Dmitry; Kaye, Robert; Tsukanov, Roman; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2015)
    We introduce the AcousticBrainz project, an open platform for gathering music information. At its core, AcousticBrainz is a database of music descriptors computed from audio recordings using a number of state-of-the-art ...
  • Bogdanov, Dmitry; Porter, Alastair; Herrera Boyer, Perfecto; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2016)
    Many studies in music classification are concerned with obtaining the highest possible cross-validation result. However, some studies have noted that cross-validation may be prone to biases and that additional evaluations ...
  • Bogdanov, Dmitry; Wack, Nicolas; Gómez Gutiérrez, Emilia, 1975-; Gulati, Sankalp; Herrera Boyer, Perfecto; Mayor, Oscar; Roma Trepat, Gerard; Salamon, Justin; Zapata González, José Ricardo; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2013)
    We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license. It contains an extensive collection of reusable algorithms which ...
  • Bogdanov, Dmitry; Wack, Nicolas; Gómez Gutiérrez, Emilia, 1975-; Gulati, Sankalp; Herrera Boyer, Perfecto; Mayor, Oscar; Roma Trepat, Gerard; Salamon, Justin; Zapata González, José Ricardo; Serra, Xavier (ACM Association for Computer Machinery, 2013)
    We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license. It contains an extensive collection of reusable algorithms which ...
  • Fonseca, Eduardo; Pons Puig, Jordi; Favory, Xavier; Font Corbera, Frederic; Bogdanov, Dmitry; Ferraro, Andrés; Oramas, Sergio; Porter, Alastair; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2017)
    Openly available datasets are a key factor in the advancement of data-driven research approaches, including many of the ones used in sound and music computing. In the last few years, quite a number of new audio datasets ...
  • Bogdanov, Dmitry (Universitat Pompeu Fabra, 2013-09-06)
    Aquest treball es centra en el modelatge d'usuari per la recomanació musical i desenvolupa algoritmes per la comprensió automàtica i visualització de preferències musicals. Primer, es proposa un model d'usuari construït a ...
  • Oramas, Sergio; Bogdanov, Dmitry; Porter, Alastair (2018)
    In this paper we present a baseline approach for the MediaEval 2018 AcousticBrainz Genre Task that takes advantage of stacking multiple feature embeddings learned on individual genre datasets by simple deep learning ...
  • Porter, Alastair; Bogdanov, Dmitry; Serra, Xavier (ACM Association for Computer Machinery, 2016)
    Semantic annotations of music collections in digital libraries are important for organization and navigation of the collection. These annotations and their associated metadata are useful in many Music Information Retrieval ...
  • Bogdanov, Dmitry; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2017)
    While a vast amount of editorial metadata is being actively gathered and used by music collectors and enthusiasts, it is often neglected by music information retrieval and musicology researchers. In this paper we propose ...
  • Bogdanov, Dmitry; Porter, Alastair; Urbano, Julián; Schreiber, Hendrik (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 ...
  • Bogdanov, Dmitry; Porter, Alastair; Urbano, Julián; Schreiber, Hendrik (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 ...
  • Bogdanov, Dmitry; Serrà Julià, Joan; Wack, Nicolas; Herrera Boyer, Perfecto; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2011)
    Measuring music similarity is essential for multimedia retrieval. For music items, this task can be regarded as obtaining a suitable distance measurement between songs defined on a certain feature space. In this paper, we ...
  • Urbano, Julián; Bogdanov, Dmitry; Herrera Boyer, Perfecto; 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 ...