Browsing by Author "Nieto Caballero, Oriol"

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  • Oramas, Sergio; Nieto Caballero, Oriol; Sordo, Mohamed; Serra, Xavier (ACM Association for Computer Machinery, 2017)
    An increasing amount of digital music is being published daily. Music streaming services often ingest all available music, but this poses a challenge: how to recommend new artists for which prior knowledge is scarce? In ...
  • Won, Minz; Chun, Sanghyuk; Nieto Caballero, Oriol; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2019)
    In this paper, we introduce the Harmonic Convolutional Neural Network (Harmonic CNN), a music representation model that exploits the inherent harmonic structure of audio signals. The proposed model outperforms previous ...
  • Won, Minz; Chun, Sanghyuk; Nieto Caballero, Oriol (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    We introduce a trainable front-end module for audio repre- sentation learning that exploits the inherent harmonic struc- ture of audio signals. The proposed architecture, composed of a set of filters, compels the ...
  • Pons Puig, Jordi; Nieto Caballero, Oriol; Prockup, Matthew; Schmidt, Erik M.; Ehmann, Andreas F.; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2018)
    The lack of data tends to limit the outcomes of deep learning research, particularly when dealing with end-to-end learning stacks processing raw data such as waveforms. In this study, 1.2M tracks annotated with musical ...
  • Pons Puig, Jordi; Nieto Caballero, Oriol; Prockup, Matthew; Schmidt, Erik M.; Ehmann, Andreas F.; Serra, Xavier (2017)
    The lack of data tends to limit the outcomes of deep learning research – specially, when dealing with end-to-end learning stacks processing raw data such as waveforms. In this study we make use of musical labels annotated ...
  • Korzeniowski, Filip; Nieto Caballero, Oriol; McCallum, Matthew C.; Won, Minz; Oramas, Sergio; Schmidt, Erik M. (International Society for Music Information Retrieval (ISMIR), 2020)
    The mood of a song is a highly relevant feature for exploration and recommendation in large collections of music. These collections tend to require automatic methods for predicting such moods. In this work, we show that ...
  • Oramas, Sergio; Nieto Caballero, Oriol; Barbieri, Francesco; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2017)
    Music genres allow to categorize musical items that share common characteristics. Although these categories are not mutually exclusive, most related research is traditionally focused on classifying tracks into a single ...
  • Oramas, Sergio; Barbieri, Francesco; Nieto Caballero, Oriol; Serra, Xavier (Ubiquity Press, 2018)
    Music genre labels are useful to organize songs, albums, and artists into broader groups that share similar musical characteristics. In this work, an approach to learn and combine multimodal data representations for music ...
  • Nieto Caballero, Oriol (2008-09)
    Extreme Vocal Effects (EVE) in music are so recent that few studies have been carried out about how they are physiologically produced and whether they are harmful or not for the human voice.Voice Transformations in real-time ...