• A neural parametric singing synthesizer modeling timbre and expression from natural songs

  Blaauw, Merlijn; Bonada, Jordi, 1973- (MDPI, 2017)

  We recently presented a new model for singing synthesis based on a modified version of the WaveNet architecture. Instead of modeling raw waveform, we model features produced by a parametric vocoder that separates the ...
• Mapping by observation: building a user-tailored conducting system from spontaneous movements

  Sarasúa, Álvaro; Urbano, Julián; Gómez Gutiérrez, Emilia, 1975- (Frontiers, 2019)

  Metaphors are commonly used in interface design within Human-Computer Interaction (HCI). Interface metaphors provide users with a way to interact with the computer that resembles a known activity, giving instantaneous ...
• Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study

  Blanco, Angel David; Ramírez, Rafael (Frontiers, 2019)

  Current music technologies can assist in the process of learning to play a musical instrument and provide objective measures for evaluating the improvement of music students in concrete music tasks. In this paper, we ...
• Melody extraction from polyphonic music signals: approaches, applications and challenges

  Salamon, Justin; Gómez Gutiérrez, Emilia, 1975-; Ellis, Daniel P. W.; Richard, Gaël (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  Melody extraction algorithms aim to produce a sequence of frequency values corresponding to the pitch of the dominant melody from a musical recording. Over the past decade melody extraction has emerged as an active research ...
• Color-matching shots from different cameras having unknown gamma or logarithmic encoding curves

  Gil Rodríguez, Raquel; Vazquez-Corral, Javier; Bertalmío, Marcelo (Society of Motion Picture & Television Engineers (SMPTE), 2017)

  In cinema and TV it is quite usual to have to work with footage coming from several cameras, which show noticeable color differences among them even if they are all the same model. In TV broadcasts, technicians work in ...
• Automatic, fast and perceptually accurate gamut mapping based on vision science models

  Zamir, Syed Waqas; Vazquez-Corral, Javier; Bertalmío, Marcelo (Society of Motion Picture & Television Engineers (SMPTE), 2017)

  Gamut mapping transforms colors of the original (image or video) content to the color palette of the display device with the simultaneous goals of (a) reproducing content accurately while preserving the artistic intent ...
• Data-informed design parameters for adaptive collaborative scripting in across-spaces learning situations

  Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders, 1973- (Springer, 2019)

  This study presents how predictive analytics can be used to inform the formulation of adaptive collaborative learning groups in the context of Computer Supported Collaborative Learning considering across-spaces learning ...
• Searching for plans with carefully designed probes

  Lipovetzky, Nir; Geffner, Héctor (Association for the Advancement of Artificial Intelligence (AAAI), 2011)

  We define a probe to be a single action sequence computedgreedily from a given state that either terminates in the goalor fails. We show that by designing these probes carefullyusing a number of existing and new polynomial ...
• Remixing music using source separation algorithms to improve the musical experience of cochlear implant users

  Pons, 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 ...
• Expression control in singing voice synthesis: features, approaches, evaluation, and challenges

  Umbert Morist, Martí; Bonada, Jordi, 1973-; Goto, Masataka; Nakano, Tomoyasu; Sundberg, Johan (Institute of Electrical and Electronics Engineers (IEEE), 2015)

  In the context of singing voice synthesis, expression control manipulates a set of voice features related to a particular emotion, style, or singer. Also known as performance modeling, it has been approached from different ...
• Derivatives and inverse of cascaded linear + nonlinear neural models

  Martínez García, Marina; Cyriac, Praveen; Batard, Thomas; Bertalmío, Marcelo; Malo, Jesús (Public Library of Science (PLoS), 2018)

  In vision science, cascades of Linear+Nonlinear transforms are very successful in modeling a number of perceptual experiences. However, the conventional literature is usually too focused on only describing the forward ...
• A geometric model of brightness perception and its application to color images correction

  Batard, Thomas; Bertalmío, Marcelo (Springer, 2018)

  Human perception involves many features like contours, shapes, textures, and colors to name a few. Whereas several geometric models for contours, shapes and textures perception have been proposed, the geometry of color ...
• Statistics of natural images as a function of dynamic range

  Grimaldi, Antoine Vincent; Kane, David; Bertalmío, Marcelo (Association for Research in Vision and Ophthalmology (ARVO), 2019)

  The statistics of real world images have been extensively investigated, but in virtually all cases using only low dynamic range image databases. The few studies that have considered high dynamic range (HDR) images ...
• In praise of artifice reloaded: caution with natural image databases in modeling vision

  Martínez García, Marina; Bertalmío, Marcelo; Malo, Jesús (Frontiers, 2019)

  Subjective image quality databases are a major source of raw data on how the visual system works in naturalistic environments. These databases describe the sensitivity of many observers to a wide range of distortions of ...
• Training neural audio classifiers with few data

  Pons Puig, Jordi; Serrà Julià, Joan; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  We investigate supervised learning strategies that improve the training of neural network audio classifiers on small annotated collections. In particular, we study whether (i) a naive regularization of the solution space, ...
• End-to-end sound source separation conditioned on instrument labels

  Slizovskaia, Olga; Kim, Leo; Haro Ortega, Gloria; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Can we perform an end-to-end music source separation with a variable number of sources using a deep learning model? This paper presents an extension of the Wave-UNet [1] model which allows end-to-end monaural ...
• Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI

  Torrents-Barrena, Jordina; Piella Fenoy, Gemma; Masoller, Narcís; Gratacós Solsona, Eduard; Eixarch, Elisenda; Ceresa, Mario; González Ballester, Miguel Ángel, 1973- (Elsevier, 2019)

  Recent advances in fetal magnetic resonance imaging (MRI) open the door to improved detection and characterization of fetal and placental abnormalities. Since interpreting MRI data can be complex and ambiguous, there is a ...
• The Few-get-richer: a surprising consequence of popularity-based rankings

  Germano, Fabrizio; Gómez, Vicenç; Le Mens, Gaël (ACM Association for Computer Machinery, 2019)

  Ranking algorithms play a crucial role in online platforms ranging from search engines to recommender systems. In this paper, we identify a surprising consequence of popularity-based rankings: the fewer the items reporting ...
• Interactive discovery system for direct democracy

  Aragón, Pablo; Bermejo, Yago; Gómez, Vicenç; Kaltenbrunner, Andreas (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  Decide Madrid is the civic technology of Madrid City Council which allows users to create and support online petitions. Despite the initial success, the platform is encountering problems with the growth of petition signing ...
• Target wake time: scheduled access in IEEE 802.11ax WLANs

  Nurchis, Maddalena; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  The increasing interest in ubiquitous networking, and the tremendous popularity gained by IEEE 802.11 WLANs in recent years, is leading to very dense deployments where high levels of channel contention may prevent meeting ...

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