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Departament de Tecnologies de la Informació i les Comunicacions

Departament de Tecnologies de la Informació i les Comunicacions

Recent Submissions

  • Hernández Leo, Davinia; Pérez-Basso, Francisco; Beltrán-Beltrán, Belén (2024-08-28)
    PyramidApp is designed to support collaborative learning scripting structured according to the Pyramid (a.k.a. Snowball) Collaborative Learning Flow Pattern (CLFP). Available as a web platform for computer or mobile ...
  • Čarapina, Mia (2024-08-28)
    This paper explores the use of a split screen feature on tablets to facil-itate collaborative learning among primary school students. In known research, the split screen approach has been utilized on personal computers and ...
  • Szafranek, Karolina Martyna; Hernández Leo, Davinia (2024-08-28)
    This research examines the role of social presence in Computer- Supported Collaborative Learning (CSCL) scripts and its facilitation through digital tools, specifically evaluating a tool implementing the Pyramid ...
  • Utsugi, Kei; Fujiwara, Takayuki; Kuwamoto, Satoshi; Yamashiro, Masao; Mitani, Keiichi; Hasebe, Tatsuya (2024-08-28)
    We introduce our industrial metaverse systems, which centralizes the management of various documents in a CAD-based industorial digital twin 3D model. In the metaverse environment, we also developed a portable implementation ...
  • Kodama, Daiki; Takayama, Chihiro; Shimizu, Shinya (2024-08-28)
    Most social activities are conducted with multiple entities to improve efficiency. It is difficult to estimate post-learning performance in advance when multiple entities (e.g., another user, robot, or autonomous agent) ...
  • Majumdar, Rwitajit; Singh, Daevesh; Rajendran, Ramkumar; Narayanan, Soumya; Gatare, Kinnari (2024-08-28)
    We present the affordances of LA-ReflecT, an LTI-enabled platform, and its potential to collect geographically distributed and asynchronous multimodal learning data. As a user, teachers can author micro-learning activities ...
  • Hernández Leo, Davinia; Pérez-Basso, Francisco; Carrió, Mar (2024-08-28)
    Open Educational Resources (OERs) are open and free-access teaching- learning materials, based on author-led sharing, readapting, and communitybuilding logics. OER are usually created and shared by teachers in open ...
  • Batlle-Roca, Roser; Tyman, Diana; Meléndez Catalán, Blai; Molina, Emilio; Herrera-Boyer, Perfecto (2024-07-03)
    Evaluating the audibility level of background music in TV programmes is a significant challenge as some music industry copyright regulations arrange music remuneration accordingly. Besides the loudness level, other ...
  • Morsi, Alia; Zhang, Huan; Maezawa, Akira; Dixon, Simon (2024-07-03)
    The development of machine-learning based technologies to support music instrument learning needs large-scale datasets that capture the different stages of learning in a manner that is both realistic and computation-f ...
  • Barrera, Barrera,; Lizarraga Seijas, Xavier; Font, Frederic (2024-07-02)
    This paper details the development of a virtual analog model of the passive equalizer stage of the classic Pultec EQP-1A studio equalizer using Wave Digital Filters. The modeling process involves analyzing the unit’s ...
  • Evans, Nicholas; Haki, Behzad; Jordà Puig, Sergi (2024-06-07)
    This paper presents the GrooveTransformer, a Eurorack module designed for generative drum sequencing. Central to its design is a Variational Auto-Encoder (VAE), around which we have designed a deployment context enabling ...
  • Saggion, Horacio; O’Flaherty, John; Blanchet, Thomas; Sharoff, Serge; Sanfilippo, Silvia; Muñoz, Lian; Gollegger, Martin; Rascón, Almudena; Martí, José Luis; Szasz, Sandra; Bott, Stefan Markus; Sayman, Volkan (2024-05-27)
    Deliberative and participatory processes currently don’t have full legitimacy due to the exclusion and marginalisation of several vulnerable communities from democratic spaces. It is well documented that people with limited ...
  • Alonso Jiménez, Pablo; Pepino, Leonardo; Batlle-Roca, Roser; Zinemanas, Pablo; Bogdanov, Dmitry; Serra, Xavier; Rocamora, Martín (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    We present PECMAE an interpretable model for music audio classification based on prototype learning. Our model is based on a previous method, APNet, which jointly learns an autoencoder and a prototypical network. Instead, ...
  • Hernández Leo, Davinia (2024-01-09)
  • Haki, Behzad; Pelinski, Teresa; Nieto, Marina; Jordà Puig, Sergi (2023-11-20)
    Sampled drums can be used as an affordable way of creating human-like drum tracks, or perhaps more interestingly, can be used as a mean of experimentation with rhythm and groove. Similarly, AI-based drum generation tools ...
  • Plaja-Roglans, Genís; Miron, Marius; Shankar, Adithi; Serra, Xavier (2023-10-30)
    Supervised music source separation systems using deep learning are trained by minimizing a loss function between pairs of predicted separations and ground-truth isolated sources. However, open datasets comprising ...
  • Penarrubia, Carlos; Garrido-Muñoz, Carlos; Valero-Mas, Jose J.; Calvo Zaragoza, Jorge (2023-10-30)
    Optical Music Recognition (OMR) is the field of research that studies how to computationally read music notation from written documents. Thanks to recent advances in computer vision and deep learning, there are successful ...
  • Hernández Leo, Davinia; Ferrer, Josep; Vujovic, Milica; Tabuenca, Bernardo; Ortiz-Beltran, Ariel; Greller, Wolfgang; Carrió, Mar; Moyano Claramunt, Elisabet (2023-10-25)
    Education plays a transversal key role in the UN's Sustainable Development Goals agenda. Educating young people on natural health and the interpretation of scientific evidence can contribute to increased levels of informed ...
  • Haki, Behzad; Kotowski, Błażej; Lee, Cheuk Lun Isaac; Jordà Puig, Sergi (2023-10-24)
    Drummers spend extensive time practicing rudiments to develop technique, speed, coordination, and phrasing. These rudiments are often practiced on "silent" practice pads using only the hands. Additionally, many percussive ...
  • Ramoneda, Pedro; Valero-Mas, Jose J.; Jeong, Dasaem; Serra, Xavier (2023-10-24)
    Estimating the performance difficulty of a musical score is crucial in music education for adequately designing the learning curriculum of the students. Although the Music Information Retrieval community has recently ...

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