• k-Best hidden Markov model decoding for unit selection in concatenative sound synthesis

  Nuanáin, Cárthach Ó; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Springer, 2018)

  Concatenative synthesis is a sample-based approach to sound creation used frequently in speech synthesis and, increasingly, in musical contexts. Unit selection, a key component, is the process by which sounds are chosen ...
• Drum rhythm spaces: from global models to style-specific maps

  Gómez Marín, Daniel; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Springer, 2018)

  This paper presents two experiments carried out to find rhythm descriptors that allow the organization of drum patterns in spaces resembling subjects similarity sensations. We revisit rhythm spaces published by Alf Gabrielsson ...
• A multi-profile method for key estimation in EDM

  Faraldo Pérez, Ángel; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Audio Engineering Society, 2017)

  Key detection in electronic dance music is important for producers and DJ’s who want to mix their tracks harmonically or organise their music collection by tonal content. In this paper, we present an algorithm that improves ...
• Integrating lexical and prosodic features for automatic paragraph segmentation

  Lai, Catherine; Farrús, Mireia; Moore, Johanna D. (Elsevier, 2020)

  Spoken documents, such as podcasts or lectures, are a growing presence in everyday life. Being able to automatically identify their discourse structure is an important step to understanding what a spoken document is about. ...
• Motion capture as an instrument in multimodal collaborative learning analytics

  Vujovic, Milica; Tassani, Simone; Hernández Leo, Davinia (Springer, 2019)

  In this paper, we describe an exploratory study where we investigate the possibilities of motion capture system as an instrument to consider in multi-modal analyses of face-to-face collaborative learning scenarios. The ...
• OlloBot - Towards a text-based Arabic health conversational agent: evaluation and results

  Fadhil, Ahmed; AbuRa’ed, Ahmed (ACL (Association for Computational Linguistics), 2019)

  We introduce OlloBot, an Arabic conver-sational agent that assists physicians andsupports patients with the care process.It doesn’t replace the physicians, insteadprovides health tracking and support andassists ...
• ClassMood App: a classroom orchestration tool for identifying and influencing student moods

  Beardsley, Marc; Vujovic, Milica; Portero-Tresserra, Marta; Hernández Leo, Davinia (Springer, 2019)

  Certain affective states are less conducive to learning than others. Moreover, results from studies suggest that a classroom’s social-emotional climate affects student motivation and performance; and that moods can be ...
• Individual differences in hippocampal volume as a function of BMI and reward sensitivity

  Parcet, Maria-Antònia; Adrián Ventura, Jesús; Costumero, Víctor; Ávila, César (Frontiers, 2020)

  Sensitivity to reward is a personality trait that predisposes a person to several addictive behaviors, including the presence of different risky behaviors that facilitates uncontrolled eating. However, the multifactorial ...
• Challenges for coonnecting citizens and smart cities: ICT, e-governance and blockchain

  Oliveira, Thays A.; Oliver Riera, Miquel; Ramalhinho-Lourenço, Helena (MDPI, 2020)

  The way citizens interact with cities affects overall life quality. Their participation in social decisions is of paramount importance for helping on public decisions that affect governance, regulation and education. This ...
• Modeling regional changes in dynamic stability during sleep and wakefulness

  Perez Ipiña, Ignacio; Donnelly Kehoe, Patricio; Kringelbach, Morten L.; Laufs, Helmut; Ibañez, Agustín; Deco, Gustavo; Sanz Perl, Yonatan; Tagliazucchi, Enzo (Elsevier, 2020)

  Global brain states are frequently placed within a unidimensional continuum by correlational studies, ranging from states of deep unconsciousness to ordinary wakefulness. An alternative is their multidimensional and ...
• Dynamic coupling of whole-brain neuronal and neurotransmitter systems

  Kringelbach, Morten L.; Cruzat, Josephine; Cabral, Joana R. B.; Moos Knudsen, Gitte; Carhart Harris, Robin; Whybrow, Peter C.; Logothetis, N.; Deco, Gustavo (National Academy of Sciences, 2020)

  Remarkable progress has come from whole-brain models linking anatomy and function. Paradoxically, it is not clear how a neuronal dynamical system running in the fixed human anatomical connectome can give rise to the rich ...
• Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing

  Cámbara, Guillermo; Luque, Jordi; Farrús, Mireia (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  The use of photoplethysmogram signal (PPG) for heart and sleep monitoring is commonly found nowadays in smart-phones and wrist wearables. Besides common usages, it has been proposed and reported that person information can ...
• Obey or play: asymptotic equivalence of slotted aloha with a game theoretic contention model

  Barceló Vicens, Jaume; Inaltekin, Hazer; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2011)

  Contention control is an important means to mitigate adverse affects of multiple access interference on transmitted data packets in wireless communication networks. Most practical contention control mechanisms, e.g., IEEE ...
• On the performance of packet aggregation in IEEE 802.11ac MU-MIMO WLANs

  Bellalta, Boris; Barceló Vicens, Jaume; Staehle, Dirk; Vinel, Alexey; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2012)

  Multi-user spatial multiplexing combined with packet aggregation can significantly increase the performance of Wireless Local Area Networks (WLANs). In this letter, we present and evaluate a simple technique to perform ...
• Performance optimization of multiple interconnected heterogeneous sensor networks via collaborative information sharing

  Pal, Sougata; Oechsner, Simon; Bellalta, Boris; Oliver Riera, Miquel (IOS Press, 2013)

  Interconnecting multiple sensor networks is a relatively new research field which has emerged in the Wireless Sensor Network domain. Wireless Sensor Networks (WSNs) have typically been seen as logically separate, and few ...
• An approximate queueing model for multi-rate multi-user MIMO systems

  Bellalta, Boris; Daza, Vanesa; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2011)

  A queueing model for Multi-rate Multi-user MIMO systems is presented. The model is built upon the assumption that the probability distribution of available destinations among the buffered frames at the Base Station (BS) ...
• Suicide risk assessment on social media: USI-UPF at the CLPsych 2019 shared task

  Ríssola, Esteban A.; Ramíırez-Cifuentes, Diana; Freire, Ana; Crestani, Fabio (ACL (Association for Computational Linguistics), 2019)

  This paper describes the participation of the USI-UPF team at the shared task of the 2019 Computational Linguistics and Clinical Psychology Workshop (CLPsych2019). The goal is to assess the degree of suicide risk of ...
• Enhanced word embeddings for anorexia nervosa detection on social media

  Ramíırez-Cifuentes, Diana; Largeron, Christine; Tissier, Julien; Freire, Ana; Baeza-Yates, Ricardo (Springer, 2020)

  Anorexia Nervosa (AN) is a serious mental disorder that has been proved to be traceable on social media through the analysis of users’ written posts. Here we present an approach to generate word embeddings enhanced for ...
• A flexible machine-learning-aware architecture for future WLANs

  Wilhelmi Roca, Francesc; Barrachina Muñoz, Sergio; Bellalta, Boris; Cano Bastidas, Cristina; Jonsson, Anders; Ram, Vishnu (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  Lots of hopes have been placed on machine learning (ML) as a key enabler of future wireless networks. By taking advantage of large volumes of data, ML is expected to deal with the ever-increasing complexity of networking ...
• Cortical state transitions and stimulus response evolve along stiff and sloppy parameter dimensions, respectively

  Ponce-Alvarez, Adrián; Mochol, Gabriela; Hermoso Mendizábal, Ainhoa; De la Rocha, Jaime; Deco, Gustavo (eLife, 2020)

  Previous research showed that spontaneous neuronal activity presents sloppiness: the collective behavior is strongly determined by a small number of parameter combinations, defined as ‘stiff’ dimensions, while it is ...

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