Benvinguts al Repositori Digital de la UPF

Visualitzant Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per títol

Visualitzant Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per títol

Ordena per: Ordre: Resultats:

  • 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 ...
  • Ferraro, Andrés; Kim, Yuntae; Lee, Soohyeon; Kim, Biho; Jo, Namjun; Lim, Semi; Lim, Suyon; Jang, Jungtaek; Kim, Sehwan; Serra, Xavier; Bogdanov, Dmitry (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    One of the main limitations in the field of audio signal processing is the lack of large public datasets with audio representations and high-quality annotations due to restrictions of copyrighted commercial music. We present ...
  • Hernández Leo, Davinia; Sánchez Reina, Jesús Roberto (Universitat Pompeu Fabra, 2022)
    Who investigates the work of scientists? Many organizations evaluate the work of scientists. The monitoring of the scientific work includes the ins- titutional boards such as departments, faculties, and ethics committees ...
  • Hernández Leo, Davinia; Sánchez Reina, Jesús Roberto (Universitat Pompeu Fabra, 2023-06-09)
    The MERE Conference has become an annual tradition, showcasing the remarkable research work of students from the Master’s Programs in Sound and Music Computing, Intelligent and Interactive Systems, and Computational ...
  • Holzapfel, Andre; Bozkurt, Baris (Universitat Pompeu Fabra, 2012)
    In this paper we investigate how note onsets in Turkish Makam music compositions are distributed, and in how far this distribution supports or contradicts the metrical structure of the pieces, the usul. We use MIDI data ...
  • Dzhambazov, Georgi Bogomilov; Holzapfel, Andre; Srinivasamurthy, Ajay; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2017)
    The goal of this study is the automatic detection of onsets of the singing voice in polyphonic audio recordings. Starting with a hypothesis that the knowledge of the current position in a metrical cycle (i.e. metrical ...
  • Amatriain, Xavier; Bonada, Jordi, 1973-; Serra, Xavier (International Conference on Digital Audio Effects, 1998)
    Since the MIDI 1.0 specification, well over 15 years ago, many have been the attempts to give a solution to all the limitations that soon became clear. None of these have had a happy ending, mainly due to commercial interests ...
  • Kang, Seongjoon; Mezzavilla, Marco; Lozano Solsona, Angel; Geraci, Giovanni; Xia, William; Rangan, Sundeep; Semkin, Vasilii; Loianno, Giuseppe (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    With growing interest in mmWave connectivity for unmanned aerial vehicles (UAVs), a basic question is whether networks intended for terrestrial service can provide sufficient aerial coverage as well. To assess this possibility ...
  • Gulati, Sankalp; Serrà Julià, Joan; Ishwar, Vignesh; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Discovery of repeating structures in music is fundamental to its analysis, understanding and interpretation. We present a data-driven approach for the discovery of shorttime melodic patterns in large collections of ...
  • 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 ...
  • 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 ...
  • Codina Filbà, Joan; Escalera, Sergio; Escudero, Joan; Antens, Coen; Buch-Cardona, Pau; Farrús, Mireia (Springer, 2021)
    People suffering Bipolar Disorder (BD) experiment changes in mood status having depressive or manic episodes with normal periods in the middle. BD is a chronic disease with a high level of non-adherence to medication that ...
  • Anantapadmanabhan, Akshay; Bellur, Ashwin; Murthy, Hema A. (Institute of Electrical and Electronics Engineers (IEEE), 2013)
    In this paper we use a Non-negative Matrix Factorization/n(NMF) based approach to analyze the strokes of the mri-/ndangam, a South Indian hand drum, in terms of the normal/nmodes of the instrument. Using ...
  • Serrà Julià, Joan; Kantz, Holger; Andrzejak, Ralph Gregor (ACM Association for Computer Machinery, 2010)
    Current systems for cover song detection are based on a model-free approach: they basically search for similarities in descriptor time series reflecting the evolution of tonal information in a musical piece. In this ...
  • Blaauw, Merlijn; Bonada, Jordi, 1973- (International Speech Communication Association (ISCA), 2016)
    Latent generative models can learn higher-level underlying factors from complex data in an unsupervised manner. Such models can be used in a wide range of speech processing applications, including synthesis, transformation ...
  • Pandey, Rahul; Castillo, Carlos; Purohit, Hemant (ACM Association for Computer Machinery, 2019)
    High-quality human annotations are necessary to create effective machine learning systems for social media. Low-quality human annotations indirectly contribute to the creation of inaccurate or biased learning systems. We ...
  • Dzhambazov, Georgi Bogomilov; Serra, Xavier (Music Technology Research Group, Department of Computer Science, Maynooth University, 2015)
    In this work we propose how to modify a standard scheme for text-to-speech alignment for the alignment of lyrics and singing voice. To this end we model the duration of phonemes specific for the case of singing. We rely ...
  • Miron, Marius; Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2017)
    Score information has been shown to improve music source separation when included into non-negative matrix factorization (NMF) frameworks. Recently, deep learning approaches have outperformed NMF methods in terms of ...
  • Chandna, Pritish; Miron, Marius; Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975- (Springer, 2017)
    In this paper we introduce a low-latency monaural source separation framework using a Convolutional Neural Network (CNN). We use a CNN to estimate time-frequency soft masks which are applied for source separation. We ...
  • Rezaeirowshan, Babak; Ballester, Coloma; Haro Ortega, Gloria (SCITEPRESS – Science and Technology Publications, Lda., 2016)
    In this paper we propose a method to estimate a global depth order between the objects of a scene using information from a single image coming from an uncalibrated camera. The method we present stems from early vision cues ...

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