• Maximizing the engagement: exploring new signals of implicit feedback in music recommendations

  Ferraro, Andrés; Oramas, Sergio; Quadrana, Massimo; Serra, Xavier (CEUR Workshop Proceedings, 2020)

  Music recommendation engines play a pivotal role in connecting artists with their listeners. Optimizing myopically only for user satisfaction may lead systems to recommend just a small fraction of all the available artists, ...
• Student perspectives on the COVID-19 emergency remote teaching at a catalan engineering school

  Moreno Oliver, Verónica; Hernández Leo, Davinia (2020)

  Due to the COVID-19 health crisis, the UPF closed its physical doors in mid-March, in line with all other universities. As a result, all teaching activities (initially conceived as on-site) had to be reorganised in order ...
• Digital competences and social impact: extracurricular learning

  Freire, Ana; Moreno Oliver, Verónica (2020)

  The underrepresentation of women in technical degrees is a matter of concern, as it leads to multiple issues such as the lack of diversity and the exclusion of women from the tech industry job market. Several initiatives ...
• Dialect imitations in speaker recognition

  Farrús, Mireia; Eriksson, Erik; Sullivan, Kirk P. H.; Hernando, Javier (Documenta Universitaria, 2007)

  Voice imitation and disguise are possible threats to the performance of a speaker recognition system and to the accuracy of earwitness descriptions. One common disguise is the modification of the own dialect or accent. ...
• N-Guard: a solution to secure access to NFC tags

  Di Pietro, Roberto; Oligeri, Gabriele; Salleras Soler, Xavier; Signorini, Matteo (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  In this paper we propose N-Guard: a portable, effective, and efficient solution to thwart contactless skimming of NFC cards. Our solution enables an NFC-compliant smartphone to protect the user's cards, preventing the ...
• A blockchain-based Trust System for the Internet of Things

  Di Pietro, Roberto; Salleras Soler, Xavier; Signorini, Matteo; Waisbard, Erez (ACM Association for Computer Machinery, 2018)

  One of the biggest challenges for the Internet of Things (IoT) is to bridge the currently fragmented trust domains. The traditional PKI model relies on a common root of trust and does not fit well with the heterogeneous ...
• LASER: lightweight and secure remote keyless entry protocol

  Daza, Vanesa; Salleras Soler, Xavier (SciTePress. Science and Technology Publications, 2019)

  Since Remote Keyless Entry (RKE) systems started to be widely used, several vulnerabilities in their protocols have been found. Attacks such as jamming-and-replay attacks and relay attacks are still effective against most ...
• 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 ...
• 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 ...
• 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 ...
• Engineering and social responsibility: a case-based course

  Nadeu Camprubí, Climent; Mariño Acebal, José B.; Farrús, Mireia (2007)

  This paper describes a teaching experience. In spring 2006, a new optional course about engineering and responsibility was started at the Universitat Politècnica de Catalunya. Its methodology was mainly based on preparation ...

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