• Optimal training in continuous flat-fading massive MIMO systems

  Truong, Kien T.; Lozano Solsona, Angel; Heath, R. W., Jr. (UNLISTED PUBLISHERVDE Verlag, 2014)

  Massive multiple-input multiple-output (MIMO) communication promises the full potential of MIMO communication realized through the deployment of hundreds of antennas at each base station. Accurate channel state information ...
• Exploring the effectiveness of video viewing in an introductory x-MOOC of algebra

  Triay, Joan; Minguillón, Julià; Sancho Vinuesa, Teresa; Daza, Vanesa (CEUR Workshop Proceedings, 2016)

  The huge amount of gathered data in a MOOC allows providing professors and course managers with insightful information about real course usage and consumption. The main aim of this work is to explore how efficient ...
• Web-based embodied conversational agents and older people

  Llorach, Gerard; Agenjo, Javier; Blat, Josep; Sayago Barrantes, Sergio (Springer, 2019)

  Within Human-Computer Interaction, there has recently been an important turn to embodied and voice-based interaction. In this chapter, we discuss our ongoing research on building online Embodied Conversational Agents (ECAs), ...
• Fully end-to-end composite recurrent convolution network for deformable facial tracking in the wild

  Sukno, Federico Mateo; Aspandi, Decky; Martínez, Oriol; Sukno, Federico Mateo; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Human facial tracking is an important task in computer vision, which has recently lost pace compared to other facial analysis tasks. The majority of current available tracker possess two major limitations: their little use ...
• Decentralized AP selection using multi-armed bandits: opportunistic ε-greedy with stickiness

  Carrascosa Zamacois, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  WiFi densification leads to the existence of multiple overlapping coverage areas, which allows user stations (STAs) to choose between different Access Points (APs). The standard WiFi association method makes the STAs select ...
• Hierarchical multi-scale set-class analysis

  Martorell Domínguez, Agustín; Gómez Gutiérrez, Emilia, 1975- (Taylor & Francis, 2015)

  This work presents a systematic methodology for set-class surface analysis using temporal multi-scale techniques. The method extracts the set-class content of all the possible temporal segments, addressing the representational ...
• Mapping between dynamic markings and performed loudness: a machine learning approach

  Kosta, Katerina; Ramírez, Rafael,1966-; Bandtlow, Oscar F.; Chew, Elaine (Taylor & Francis, 2016)

  Loudness variation is one of the foremost tools for expressivity in music performance. Loudness is frequently notated as dynamic markings such as p (piano, meaning soft) or f (forte, meaning loud). While dynamic markings ...
• Musical sound modeling with sinusoids plus noise

  Serra, Xavier (Taylor & Francis (Routledge), 1997)

  When generating musical sound on a digital computer, it is important to have a good model whose parameters provide a rich source of meaningful sound transformations. Three basic model types are in prevalent use today for ...
• Brain states and transitions: insights from computational neuroscience

  Kringelbach, Morten L.; Deco, Gustavo (Elsevier, 2020)

  Within the field of computational neuroscience there are great expectations of finding new ways to rebalance the complex dynamic system of the human brain through controlled pharmacological or electromagnetic perturbation. ...
• Measuring the impacts of extra-musical elements in guitar music playing: a pilot study

  Héroux, Isabelle; Giraldo, Sergio; Ramírez, Rafael,1966-; Dubé, Francis; Creech, Andrea; Thouin-Poppe, Louis-Édouard (Frontiers, 2020)

  Philosophers, composers, and musicians have long argued whether instrumental music finds meaning in its formal structure and musical content (Hanslick, 1986) or through reference to extra-musical elements, like narratives, ...
• Interleaved intramuscular stimulation with minimally overlapping electrodes evokes smooth and fatigue resistant forces

  Eladly, Ahmed; Del Valle, Jaume; Minguillon, Jesus; Mercadal, Borja; Becerra Fajardo, Laura; Navarro, Xavier; Ivorra Cano, Antoni, 1974- (IOP Publishing Ltd., 2020)

  Objective. It is known that multi-site interleaved stimulation generates less muscle fatigue compared to single-site synchronous stimulation. However, in the limited number of studies in which intramuscular electrodes were ...
• Mood classification using listening data

  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 ...
• Combining musical features for cover detection

  Doras, Guillaume; Yesiler, Furkan; Serrà Julià, Joan; Gómez Gutiérrez, Emilia, 1975-; Peeters, Geoffroy (International Society for Music Information Retrieval (ISMIR), 2020)

  Recent works have addressed the automatic cover detection problem from a metric learning perspective. They employ different input representations, aiming to exploit melodic or harmonic characteristics of songs and yield ...
• Less is more: faster and better music version identification with embedding distillation

  Serrà Julià, Joan; Yesiler, Furkan; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)

  Version identification systems aim to detect different renditions of the same underlying musical composition (loosely called cover songs). By learning to encode entire recordings into plain vector embeddings, recent systems ...
• CATOTRON – A Neural text-to-speech system in catalan

  Külebi, Baybars; Öktem, Alp; Peiró Lilja, Àlex; Pascual, Santiago; Farrús, Mireia (International Speech Communication Association (ISCA), 2020)

  We present Catotron, a neural network-based open-source speech synthesis system in Catalan. Catotron consists of a sequence-to-sequence model trained with two small opensource datasets based on semi-spontaneous and read ...
• Naturalness enhancement with linguistic information in end-to-end TTS using unsupervised parallel encoding

  Peiró Lilja, Àlex; Farrús, Mireia (International Speech Communication Association (ISCA), 2020)

  State-of-the-art end-to-end speech synthesis models have reached levels of quality close to human capabilities. However, there is still room for improvement in terms of naturalness, related to prosody, which is essential ...
• Deep learning based source separation applied to choir ensembles

  Petermann, Darius; Chandna, Pritish; Cuesta, Helena; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)

  Choral singing is a widely practiced form of ensemble singing wherein a group of people sing simultaneously in polyphonic harmony. The most commonly practiced setting for choir ensembles consists of four parts; Soprano, ...
• Multiple F0 estimation in vocal ensembles using convolutional neural networks

  Cuesta, Helena; McFee, Brian; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)

  This paper addresses the extraction of multiple F0 values from polyphonic and a cappella vocal performances using convolutional neural networks (CNNs). We address the major challenges of ensemble singing, i.e., all melodic ...
• A deep learning based analysis-synthesis framework for unison singing

  Chandna, Pritish; Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)

  Unison singing is the name given to an ensemble of singers simultaneously singing the same melody and lyrics. While each individual singer in a unison sings the same principle melody, there are slight timing and pitch ...
• Collaboration variability in autism spectrum disorder

  Blancas, Maria; Maffei, Giovanni; Sánchez Fibla, Martí; Vouloutsi, Vasiliki; Verschure, Paul F. M. J. (Frontiers, 2020)

  This paper addresses how impairments in prediction in young adults with autism spectrum disorder (ASD) relate to their behavior during collaboration. To assess it, we developed a task where participants play in collaboration ...

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