• 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 ...
• 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 ...
• 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 ...
• 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 ...
• Data-driven harmonic filters for audio representation learning

  Won, Minz; Chun, Sanghyuk; Nieto Caballero, Oriol (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  We introduce a trainable front-end module for audio repre- sentation learning that exploits the inherent harmonic struc- ture of audio signals. The proposed architecture, composed of a set of filters, compels the ...
• Creating research corpora for the computational study of music: the case of the CompMusic Project

  Serra, Xavier (Audio Engineering Society, 2014)

  A fundamental concern in music information research is the use of appropriate data sets, research corpora, from which to perform the needed data processing tasks. These corpora have to be suited for the specific research ...
• Artist and style exposure bias in collaborative filtering based music recommendations

  Ferraro, Andrés; Bogdanov, Dmitry; Serra, Xavier; Yoon, Jason; Comunicació presentada a: The 1st Workshop on Designing Human-Centric MIR Systems, esdeveniment satèl·lit d'ISMIR 2019, celebrat a Delft, Holanda, el dia 2 de novembre de 2019. (ACM FAT Network, 2019)

  Algorithms have an increasing influence on the music that we consume and understanding their behavior is fundamental to make sure they give a fair exposure to all artists across different styles. In this on-going work ...
• Performance assessment technologies for the support of musical instrument learning

  Eremenko, Vsevolod; Morsi, Alia; Narang, Jyoti; Serra, Xavier (2020)

  Recent technological developments are having a significant impact on musical instruments and singing voice learning. A proof is the number of successful software applications that are being used by aspiring musicians in ...
• Towards blockchain for decentralized self-organizing wireless networks

  Platt, Steven; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Distributed consensus mechanisms have been widely researched and made popular with a number of blockchain-based token applications, such as Bitcoin, and Ethereum. Although these ...
• A distributed ledger-enabled interworking model for the wireless air interface

  Platt, Steven; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  While direct allocation of spectrum and evolved medium access protocols provide a base for ubiquitous wireless connectivity, the existing TCP/IP and OSI models were designed for wired networks and do not address open ...
• Personalized computational framework to study arrhythmia mechanisms on top of ECGI-detected sub-strate

  Cluitmans, Matthijs J.M.; Lluch Alvarez, Èric; Morales, Hernán G.; Heijman, Jordi; Vaulders, Paul (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  Electrocardiographic Imaging (ECGI) can unmask electrical abnormalities that were difficult to detect using the standard 12-lead ECG. However, it is still challenging to interpret the potential arrhythmogenic consequence ...
• PAD and SAD: Two awareness-weighted rhythmic similarity distances

  Gómez Marín, Daniel; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (International Society for Music Information Retrieval (ISMIR), 2015)

  Measuring rhythm similarity is relevant for the analysis and generation of music. Existing similarity metrics tend to consider our perception of rhythms as being in time without discriminating the importance of some ...
• Improving score-informed source separation for classical music through note refinement

  Miron, Marius; Carabias Orti, Julio J.; Janer Mestres, Jordi (International Society for Music Information Retrieval (ISMIR), 2015)

  Signal decomposition methods such as Non-negative Matrix Factorization (NMF) demonstrated to be a suitable approach for music signal processing applications, including sound source separation. To better control this ...
• Analyzing the influence of pitch quantization and note segmentation on singing voice alignment in the context of audio-based Query-by-Humming

  Valero-Mas, Jose J.; Salamon, Justin; Gómez Gutiérrez, Emilia, 1975- (Maynooth University, 2015)

  Query-by-Humming (QBH) systems base their operation on aligning the melody sung/hummed by a user with a set of candidate melodies retrieved from polyphonic songs. While MIDI-based QBH builds on the premise of ...
• Target-based rhythmic pattern generation and variation with genetic algorithms

  Nuanáin, Cárthach Ó; Herrera Boyer, Perfecto, 1964-; Jordà Puig, Sergi (Maynooth University, 2015)

  Composing drum patterns and musically developing them through repetition and variation is a typical task in electronic music production. We propose a system that, given an input pattern, automatically creates related ...
• An Analysis/synthesis framework for automatic F0 annotation of multitrack datasets

  Salamon, Justin; Bittner, Rachel M.; Bonada, Jordi, 1973-; Bosch, Juan J.; Gómez Gutiérrez, Emilia, 1975-; Bello, Juan Pablo (International Society for Music Information Retrieval (ISMIR), 2017)

  Generating continuous f0 annotations for tasks such as melody extraction and multiple f0 estimation typically involves running a monophonic pitch tracker on each track of a multitrack recording and manually correcting ...
• Cell-free massive MIMO for UAV communications

  D’Andrea, Carmen; García Rodríguez, Adrián; Geraci, Giovanni; Galati Giordano, Lorenzo; Buzzi, Stefano (Institute of Electrical and Electronics Engineers, 2019)

  We study support for unmanned aerial vehicle (UAV) communications through a cell-free massive MIMO ar- chitecture. Under the general assumption that the propagation channel between the mobile stations, either UAVs or ground ...

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