Visualitza per autor "Porter, Alastair"

Ordena per: Ordre: Resultats:

  • Sentürk, Sertan; Ferraro, Andrés; Porter, Alastair; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2016)
    We present a web application for the analysis and discovery of Ottoman-Turkish makam music. The tool uses an audio-score alignment methodology developed for this music culture for the analysis. It stores the data to be ...
  • 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 ...
  • Porter, Alastair; Serra, Xavier (ACM Association for Computer Machinery, 2014)
    We present a work ow processing and data storage system that has been developed to store the computational analysis of large databases of music-related documents. Documents can consist of any music-related data, for ...
  • 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 ...
  • Porter, Alastair; Sordo, Mohamed; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2013)
    Music recommendation and discovery is an important MIR application with a strong impact in the music industry, but most music recommendation systems are still quite generic and without much musical knowledge. In this paper ...
  • 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 ...
  • 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; 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 ...