Browsing by Author "Bogdanov, Dmitry"

Sort by: Order: Results:

  • 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 ...
  • Ferraro, Andrés; Bogdanov, Dmitry; Serra, Xavier; Yoon, Jason; Comunicació presentada a: The 1st Workshop on Designing Human-Centric MIR Systems, esdeveniment satèl·lit d'ISMIR 2019, celebrat a Delft, Holanda, el dia 2 de novembre de 2019. (ACM FAT Network, 2019)
    Algorithms have an increasing influence on the music that we consume and understanding their behavior is fundamental to make sure they give a fair exposure to all artists across different styles. In this on-going work ...
  • Ferraro, Andrés; Jeon, Jea Ho; Kim, Biho; Serra, Xavier; Bogdanov, Dmitry (ICML, 2020)
    To evaluate if the recommendations are fair, we have to consider how all the stakeholders are affected. In this work, we focus on the artists in the music domain. We analyze the recommendations made with Collaborative ...
  • Alonso-Jiménez, Pablo; Joglar-Ongay, Luis; Serra, Xavier; Bogdanov, Dmitry (Audio Engineering Society, 2019)
    Providing contents within the industry quality standards is crucial for digital music distribution companies. For this reason an excellent quality control (QC) support is paramount to ensure that the music does not contain ...
  • Ferraro, Andrés; Bogdanov, Dmitry; Yoon, Jisang; Kim, KwangSeob; Serra, Xavier (ACM Association for Computer Machinery, 2018)
    The ACM RecSys Challenge 2018 focuses on music recommendation in the context of automatic playlist continuation. In this paper, we describe our approach to the problem and the final hybrid system that was submitted to the ...
  • 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 ...
  • 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 ...
  • Bogdanov, Dmitry; Porter, Alastair; Herrera Boyer, Perfecto, 1964-; 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 ...
  • Alonso-Jiménez, Pablo; Bogdanov, Dmitry; Serra, Xavier (2020)
    We present the integration of various CNN TensorFlow models developed for different MIR tasks into Essentia. This is a continuation of our previous work [1], extending the list of supported models and adding new algorithms ...
  • Ferraro, Andrés; Favory, Xavier; Drossos, Konstantinos; Kim, Yuntae; Bogdanov, Dmitry (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtain representations using various sources ...
  • Correya, Albin Andrew; Bogdanov, Dmitry; Joglar-Ongay, Luis; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2020)
    Open-source software libraries for audio/music analysis and feature extraction have a significant impact on the development of Audio Signal Processing and Music Information Retrieval (MIR) systems. Despite the abundance of ...
  • Bogdanov, Dmitry; Wack, Nicolas; Gómez Gutiérrez, Emilia, 1975-; Gulati, Sankalp; Herrera Boyer, Perfecto, 1964-; 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, 1964-; Mayor, Oscar; Roma Trepat, Gerard; Salamon, Justin; Zapata González, José Ricardo; Serra, Xavier (ACM Association for Computer Machinery, 2014)
    Over the last decade, audio analysis has become afield of active research in academic and engineeringworlds. It refers to the extraction of information andmeaning from audio signals for analysis, ...
  • Bogdanov, Dmitry; Wack, Nicolas; Gómez Gutiérrez, Emilia, 1975-; Gulati, Sankalp; Herrera Boyer, Perfecto, 1964-; 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 ...
  • Ramires, António; Font Corbera, Frederic; Bogdanov, Dmitry; Smith, Jordan B. L.; Yang, Yi-Hsuan; Ching, Joann; Chen, Bo-Yu; Wu, Yueh-Kao; Wei-Han, Hsu; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2020)
    Music loops are essential ingredients in electronic music production, and there is a high demand for pre-recorded loops in a variety of styles. Several commercial and community databases have been created to meet this ...
  • Bogdanov, Dmitry; Serrà Julià, Joan; Wack, Nicolas; Herrera Boyer, Perfecto, 1964- (Institute of Electrical and Electronics Engineers (IEEE), 2009)
    Studying the ways to recommend music to a user is a central task within the music information research community. From a content-based point of view, this task can be regarded as obtaining a suitable distance measurement ...
  • 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 ...
  • Bogdanov, Dmitry; Herrera Boyer, Perfecto, 1964- (International Society for Music Information Retrieval (ISMIR), 2011)
    In this work we consider distance-based approaches to music recommendation, relying on an explicit set of music tracks provided by the user as evidence of his/her music preferences. Firstly, we propose a purely content-based ...