• Transfer learning from speech to music: towards language-sensitive emotion recognition models

  Gómez Cañón, Juan Sebastián; Cano, Estefanía; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  In this study, we address emotion recognition using unsupervised feature learning from speech data, and test its transferability to music. Our approach is to pre-train models using speech in English and Mandarin, and then ...
• L'aportació de Vicent Caselles al món de les matemàtiques i l'aplicació al processament d'imatges

  Arias Martínez, Pablo; Ballester, Coloma; Coll i Vicens, Bartomeu; Mazón, José; Provenzi, Edoardo (Institut d’Estudis Catalans, 2018)

  En aquest treball es fa un repàs de les contribucions més importants de Vicent Caselles al camp de les matemàtiques i la seva aplicació als models de les imatges. Les seves aportacions varen cobrir tot un ventall molt ...
• A rotation-invariant regularization term for optical flow related problems

  Palomares, Roberto P.; Haro Ortega, Gloria; Ballester, Coloma (Springer, 2014)

  This paper proposes a new regularization term for optical flow related problems. The proposed regularizer properly handles rotation movements and it also produces good smoothness conditions on the flow field while preserving ...
• From occlusion to global depth order, a monocular approach

  Rezaeirowshan, Babak; Ballester, Coloma; Haro Ortega, Gloria (Springer, 2016)

  Estimating 3D structure of the scene from a single image remains a challenging problem in computer vision. This paper proposes a novel approach to obtain a global depth order of objects by incorporating monocular perceptual ...
• Delineation of the electrocardiogram with a mixed-quality-annotations dataset using convolutional neural networks

  Jimenez-Perez, Guillermo; Alcaine, Alejandro; Camara, Oscar (Nature Research, 2021)

  Detection and delineation are key steps for retrieving and structuring information of the electrocardiogram (ECG), being thus crucial for numerous tasks in clinical practice. Digital signal processing (DSP) algorithms are ...
• The Emotions that we perceive in music: the influence of language and lyrics comprehension on agreement

  Gómez Cañón, Juan Sebastián; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975-; Cano, Estefanía (2019)

  In the present study, we address the relationship between the emotions perceived in pop and rock music (mainly in Euro-American styles with English lyrics) and the language spoken by the listener. Our goal is to ...
• Data efficient voice cloning for neural singing synthesis

  Blaauw, Merlijn; Bonada, Jordi, 1973-; Daido, Ryunosuke (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  There are many use cases in singing synthesis where creating voices from small amounts of data is desirable. In text-to-speech there have been several promising results that apply voice cloning techniques to modern deep ...
• Joint TV-L1 optical flow and occlusion estimation

  Garamendi, Juan Francisco; Lazcano, Vanel; Ballester, Coloma (IPOL, 2019)

  This document describes an implementation of the energy functional minimization proposed by Ballester, Garrido, Lazcano and Caselles for joint optical flow and occlusion estimation. The method build up from the ideas behind ...
• Feed-forward information and zero-lag synchronization in the sensory thalamocortical circuit are modulated during stimulus perception

  Tauste Campo, Adrià; Vázquez, Yuriria; Álvarez, Manuel; Zainos, Antonio; Rossi-Pool, Román; Deco, Gustavo; Romo, Ranulfo (National Academy of Sciences, 2019)

  The direction of functional information flow in the sensory thalamocortical circuit may play a role in stimulus perception, but, surprisingly, this process is poorly understood. We addressed this problem by evaluating a ...
• Color illusions also deceive CNNs for low-level vision tasks: analysis and implications

  Gómez Villa, Alexander; Martín, Adrian; Vazquez-Corral, Javier; Bertalmío, Marcelo; Malo, Jesús (Elsevier, 2020)

  The study of visual illusions has proven to be a very useful approach in vision science. In this work we start by showing that, while convolutional neural networks (CNNs) trained for low-level visual tasks in natural ...
• Evaluation of audio-based feedback technologies for bow learning technique in violin beginners

  Blanco, Angel David; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2017)

  We present a study of the effects of feedback technologies on the learning process of novice violin students. Twenty-one subjects participated in our experiment, divided into two groups: Beginners (participants with no ...
• Participatory design methods to define educational goals for full-body interaction

  Schaper, Marie-Monique; Malinverni, Laura; Parés, Narcís, 1966- (ACM Association for Computer Machinery, 2014)

  The paper presents an exploratory study aimed toward including children in the design of an Interactive Learning Environment based on Full-Body Interaction. The study proposes a method based on using Participatory Design ...
• Coding for two-user energy harvesting interference channel

  Dabirnia, Mehdi; Duman, Tolga M. (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  A two-user interference channel with energy harvesting transmitters, each equipped with a finite battery, is considered. Achievable rate regions (ARRs) considering independent and identically distributed Shannon strategies ...
• Mixed reality, full-body interactive experience to encourage cocial initiation for autism: comparison with a control nondigital intervention

  Crowell, Ciera; Sayis, Batuhan; Benitez, Juan Pablo; Parés, Narcís, 1966- (Mary Ann Liebert, Inc, 2020)

  Despite a proliferation in digital intervention tools for autism, many studies lack comparison with standard intervention tools, and are not evaluated with objective and standardized measures. In this article, we present ...
• Structuring collaboration: Multi-user full-body interaction environments for children with Autism Spectrum Disorder

  Crowell, Ciera; Mora-Guiard, Joan; Parés, Narcís, 1966- (Elsevier, 2019)

  Background Collaboration is an interpersonal process which builds upon social skills and mutual understanding. Due to characteristic social challenges, children with Autism Spectrum Disorders may benefit from structured ...
• Computing hierarchical finite state controllers with classical planning

  Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders, 1973- (AI Access Foundation, 2018)

  Finite State Controllers (FSCs) are an effective way to compactly represent sequential plans. By imposing appropriate conditions on transitions, FSCs can also represent generalized plans (plans that solve a range of planning ...
• Seizure cycles in focal epilepsy

  Leguia, Marc G.; Andrzejak, Ralph Gregor; Rummel, Christian; Fan, Joline M.; Mirro, Emily A.; Tcheng, Thomas K.; Rao, Vikram R.; Baud, Maxime O. (American Medical Association, 2021)

  IMPORTANCE Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our knowledge, the prevalence and patterns of seizure cycles are unknown. OBJECTIVE To establish the prevalence, strength, and ...
• A reevaluation of Whittle (1986, 1992) reveals the link between detection thresholds, discrimination thresholds, and brightness perception

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

  In 1986, Paul Whittle investigated the ability to discriminate between the luminance of two small patches viewed upon a uniform background. In 1992, Paul Whittle asked subjects to manipulate the luminance of a number of ...
• Mitigating the impact of the novel coronavirus pandemic on neuroscience and music research protocols in clinical populations

  Papatzikis, Efthymios; Zeba, Fathima; Särkämö, Teppo; Ramírez, Rafael,1966-; Grau-Sánchez, Jennifer; Tervaniemi, Mari; Loewy, Joanne (Frontiers, 2020)

  The COVID-19 disease and the systemic responses to it has impacted lives, routines and procedures at an unprecedented level. While medical care and emergency response present immediate needs, the implications of this ...
• Applying deep learning techniques to estimate patterns of musical gesture

  Dalmazzo, David; Waddell, George; Ramírez, Rafael,1966- (Frontiers, 2021)

  Repetitive practice is one of the most important factors in improving the performance of motor skills. This paper focuses on the analysis and classification of forearm gestures in the context of violin playing. We recorded ...

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