• Photorealistic style transfer for video

  Zabaleta, Itziar; Bertalmío, Marcelo (Elsevier, 2021)

  This work proposes an efficient example-based photorealistic style transfer algorithm for video. Given a source unprocessed video and a reference image color graded by an artist, we describe an automatic algorithm to ...
• Corpora compilation for prosody-informed speech processing

  Öktem, Alp; Farrús, Mireia; Bonafonte, Antonio (Springer, 2021)

  Research on speech technologies necessitates spoken data, which is usually obtained through read recorded speech, and specifically adapted to the research needs. When the aim is to deal with the prosody involved in speech, ...
• AToM: active topology monitoring for the bitcoin peer-to-peer network

  Franzoni, Francesco; Salleras, Xavier; Daza, Vanesa (Springer, 2021)

  Over the past decade, the Bitcoin P2P network protocol has become a reference model for all modern cryptocurrencies. While nodes in this network are known, the connections among them are kept hidden, as it is commonly ...
• Mixed reality or LEGO game play? Fostering social interaction in children with Autism

  Sayis, Batuhan; Ramírez, Rafael,1966-; Parés, Narcís, 1966- (Springer, 2021)

  This study extends the previous research in which it has been shown that a mixed reality (MR) system fosters social interaction behaviours (SIBs) in children with Autism Spectrum Condition (ASC). When comparing this system ...
• An overview of automatic piano performance assessment within the music education context

  Kim, Hyon; Ramoneda, Pedro; Miron, Marius; Serra, Xavier (SCITEPRESS – Science and Technology Publications, 2022)

  Piano is one of the most popular instruments among music learners. Technologies to evaluate piano performances have been researched and developed in recent years rapidly, including data driven methods using machine learning. ...
• Phase irregularity: a conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients

  Espinoso Palacín, Anaïs; Andrzejak, Ralph Gregor (American Physical Society, 2022)

  The severe neurological disorder epilepsy affects almost 1% of the world population. For patients who suffer from pharmacoresistant focal-onset epilepsy, electroencephalographic (EEG) recordings are essential for the ...
• Diversity in the music listening experience: insights from focus group interviews

  Porcaro, Lorenzo; Gómez Gutiérrez, Emilia, 1975-; Castillo, Carlos (ACM Association for Computer Machinery, 2022)

  Music listening in today’s digital spaces is highly characterized by the availability of huge music catalogues, accessible by people all over the world. In this scenario, recommender systems are designed to guide listeners ...
• ZPiE: Zero-knowledge proofs in embedded systems

  Salleras, Xavier; Daza, Vanesa (MDPI, 2021)

  Zero-Knowledge Proofs (ZKPs) are cryptographic primitives allowing a party to prove to another party that the former knows some information while keeping it secret. Such a premise can lead to the development of numerous ...
• FORT: right-proving and attribute-blinding self-sovereign authentication

  Salleras, Xavier; Rovira, Sergi; Daza, Vanesa (MDPI, 2022)

  Nowadays, there are a plethora of services that are provided and paid for online, such as video streaming subscriptions, car-share, vehicle parking, purchasing tickets for events, etc. Online services usually issue tokens ...
• Terahertz transmit beamforming with 1-Bit DACs and ADCs

  Nikbakht, Rasoul; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
• Subset regularized zero-forcing precoders for cell-free C-RANs

  Mojahedian, Mohammad Mahdi; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  This paper formulates regularized zero-forcing (RZF) precoders that are both network- and user-centric for the downlink of centralized radio-access networks operating in a cell-free fashion. The transmission to every user ...
• Pseudo-Inverse vs generalized inverse for C-RAN downlink precoding

  Mojahedian, Mohammad Mahdi; Mosayebi, Reza; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  This paper tackles the problem of zero-forcing (ZF) precoding for the downlink of centralized radio-access networks operating in a cell-free fashion. While the customary workhorse of ZF precoding is the channel pseudo-inverse, ...
• The power of beauty or the tyranny of algorithms. How do teens understand body image on instagram?

  Sánchez Reina, Jesús Roberto; Theophilou, Emily; Hernández Leo, Davinia; Medina Bravo, Pilar, 1966- (Dykinson, 2021)
• El papel de los espacios como facilitadores del aprendizaje colaborativo: Estudio cualitativo en Grados en Ingeniería y Másteres TIC de la UPF

  Santos Rodríguez, Patrícia; Moreno, Verónica; Hernández Leo, Davinia (CIDUI Congrés Internacional de Docència Universitària i Innovació, 2021)

  Este artículo presenta los resultados obtenidos en un análisis realizado en estudios de grado y master (ámbitos de ingeniería y TIC) de la UPF enfocado en el papel que juegan los espacios colaborativos de aprendizaje ...
• SignON: Bridging the gap between sign and spoken languages

  Saggion, Horacio; Shterionov, Dimitar; Labaka, Gorka; Van de Cruys, Tim; Vandeghinste, Vincent; Blat, Josep (CEUR Workshop Proceedings, 2021)

  This article presents an overview of the SignON European project which aims to develop technology for automatic translation between sign and oral languages (and vice-versa). In order to achieve this objective, the project ...
• Syntax-aware transformers for neural machine translation: the case of text to sign gloss translation

  Egea Gómez, Santiago; McGill, Euan; Saggion, Horacio (ACL (Association for Computational Linguistics), 2021)

  It is well-established that the preferred mode of communication of the deaf and hard of hearing (DHH) community are Sign Languages (SLs), but they are considered low resource languages where natural language ...
• Personalized musically induced emotions of not-so-popular Colombian music

  Gómez Cañón, Juan Sebastián; Herrera Boyer, Perfecto, 1964-; Cano, Estefanía; Gómez Gutiérrez, Emilia, 1975- (NeurIPS, 2021)

  This work presents an initial proof of concept of how Music Emotion Recognition (MER) systems could be intentionally biased with respect to annotations of musically-induced emotions in a political context. In specific, ...
• The Matrix profile for motif discovery in audio - an example application in Carnatic music

  Nuttall, Thomas; Plaja, Genís; Pearson, Lara; Serra, Xavier (Les éditions de PRISM, 2021)

  We present here a pipeline for the automated discovery of repeated motifs in audio. Our approach relies on state-of-the-art source separation, pre- dominant pitch extraction and time series motif detection via the matrix ...
• Analysis of musical dynamics in vocal performances

  Narang, Jyoti; Miron, Marius; Lizarraga Seijas, Xavier; Serra, Xavier (Les éditions de PRISM, 2021)

  Dynamics are one of the fundamental tools of expressivity in a performance. While the usage of this tool is highly subjective, a systematic methodology to derive loudness markings based on a performance can be highly ...
• Computational techniques for data science applied to broaden the knowledge between citizen science and education

  Calvera Isabal, Miriam; Varas Paneque, Núria; Santos, Patricia (IADIS Press, 2021)

  This paper describes a preliminary study of how computational methods allow us to know more about citizen science and its connection with education. Citizen science is a practice involving a general public in scientific ...

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