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Browsing Departament de Tecnologies de la Informació i les Comunicacions by Author "Janer Mestres, Jordi"

Browsing Departament de Tecnologies de la Informació i les Comunicacions by Author "Janer Mestres, Jordi"

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  • Development of a sound coding strategy based on a deep recurrent neural network for monaural source separation in cochlear implants
    Nogueira, Waldo; Gajecki, Tom; Krüger, Benjamin; Janer Mestres, Jordi; Büchner, Andreas (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    The aim of this study is to investigate whether a source separation algorithm based on a deep recurrent neural network (DRNN) can provide a speech perception benefit for cochlear implant users when speech signals are mixed ...
  • Ecological acoustics perspective for content-based retrieval of environmental sounds
    Roma Trepat, Gerard; Janer Mestres, Jordi; Kersten, Stefan; Schirosa, Mattia; Herrera Boyer, Perfecto, 1964-; Serra, Xavier (Hindawi, 2010)
    In this paper we present a method to search for environmental sounds in large unstructured databases of user-submitted audio, using a general sound events taxonomy from ecological acoustics. We discuss the use of Support ...
  • Generating data to train convolutional neural networks for classical music source separation
    Miron, Marius; Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975- (Aalto University, 2017)
    Deep learning approaches have become increasingly popular in estimating time-frequency masks for audio source separation. However, training neural networks usually requires a considerable amount of data. Music data is ...
  • Immersive orchestras: Audio processing for orchestral music VR content
    Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975-; Martorell Domínguez, Agustín; Miron, Marius; de Wit, Benjamin (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    This paper combines Audio Signal Processing and Virtual Reality (VR) content to create novel immersive experiences for orchestral music audiences. In VR, the auralization of sound sources of recorded live content remains ...
  • Improving score-informed source separation for classical music through note refinement
    Miron, Marius; Carabias Orti, Julio J.; Janer Mestres, Jordi (International Society for Music Information Retrieval (ISMIR), 2015)
    Signal decomposition methods such as Non-negative Matrix Factorization (NMF) demonstrated to be a suitable approach for music signal processing applications, including sound source separation. To better control this ...
  • Monaural score-informed source separation for classical music using convolutional neural networks
    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 ...
  • Monoaural audio source separation using deep convolutional neural networks
    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 ...
  • Remixing music using source separation algorithms to improve the musical experience of cochlear implant users
    Pons Puig, Jordi; Janer Mestres, Jordi; Rode, Thilo; Nogueira, Waldo (Acoustical Society of America, 2016)
    Music perception remains rather poor for many Cochlear Implant (CI) users due to the users' deficient pitch perception. However, comprehensible vocals and simple music structures are well perceived by many CI users. In ...
  • Score-informed source separation for multichannel orchestral recordings
    Miron, Marius; Carabias Orti, Julio J.; Bosch, Juan J.; Gómez Gutiérrez, Emilia, 1975-; Janer Mestres, Jordi (Hindawi, 2016)
    This paper proposes a system for score-informed audio source separation for multichannel orchestral recordings. The orchestral music repertoire relies on the existence of scores. Thus, a reliable separation requires a good ...
  • Sound object classification for symbolic audio mosaicing: a proof-of-concept
    Janer Mestres, Jordi; Haro Berois, Martín; Roma Trepat, Gerard; Fujishima, Takuya; Kojima, Naoaki ([Sound and Music Computing], 2009)
    Sample-based music composition often involves the task of manually searching appropriate samples from existing audio. Audio mosaicing can be regarded as a way to automatize this process by specifying the desired audio ...
  • Supporting soundscape design in virtual environments with content-based audio retrieval
    Janer Mestres, Jordi; Finney, Nathaniel; Roma Trepat, Gerard; Kersten, Stefan; Serra, Xavier (University of Texas at Austin. Department of Radio-Television-Film, 2009)
    The computer-assisted design of soundscapes for virtual environments has received far less attention than the creation of graphical content. In this “think piece” we briefly introduce the principal characteristics of a ...

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