• Cross-dataset music emotion recognition: an end-to-end approach

  Pandrea, Ana Gabriela; Gómez Cañón, Juan Sebastián; Herrera Boyer, Perfecto, 1964- (2020)

  The topic of Music Emotion Recognition (MER) evolved as music is a fascinating expression of emotions, yet it faces challenges given its subjectivity. Because each language has its particularities in terms of sound and ...
• Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification

  Gómez Cañón, Juan Sebastián; Cano, Estefanía; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975- (2020)

  Tagging a musical excerpt with an emotion label may result in a vague and ambivalent exercise. This subjectivity entangles several high-level music description tasks when the computational models built to address them ...
• Designing fully secure protocols for secure two-party computation of constant-domain functions

  Daza, Vanesa; Makriyannis, Nikolaos (Springer, 2017)

  In a sense, a two-party protocol achieves fairness if the output from the computation is obtained simultaneously by both parties. A seminal result by Cleve (STOC 1986) states that fairness is impossible, in general. ...
• The persistent influence of viewing environment illumination color on displayed image appearance

  Canham, Trevor; Bertalmío, Marcelo (2020)

  Chromatic adaptation considering competing influences from emissive displays and ambient illumination is a little studied topic in the context of color management in proportion to its influence on displayed image appearance. ...
• Non-experts or experts? Statistical analyses of MOS using DSIS method

  Sugito, Yasuko; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  In image quality assessments, the results of subjective evaluation experiments that use the double-stimulus impairment scale (DSIS) method are often expressed in terms of the mean opinion score (MOS), which is the average ...
• Practical use suggests a re-evaluation of HDR objective quality metrics

  Sugito, Yasuko; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Full-reference objective quality metrics for high dynamic range (HDR) images must be validated in terms of their consistency with subjective evaluation results, and previous studies have found a number of metrics that ...
• In-camera, photorealistic style transfer for on-set automatic grading

  Zabaleta, Itziar; Bertalmío, Marcelo (Society of Motion Picture and Television Engineers (SMPTE), 2018)

  In professional cinema, the intended artistic look of the movie informs the creation of a static 3D LUT that is applied on set, where further manual modifications to the image appearance are registered as 10-parameter ...
• Color stabilization for multi-camera light-field imaging

  Vu-Thanh, Olivier; Canham, Trevor; Vazquez-Corral, Javier; Gil Rodríguez, Raquel; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  By capturing a more complete rendition of scene light than standard 2D cameras, light-field technology represents an important step towards closing the gap between live action cinematography and computer graphics. Light-field ...
• Learning to learn: university student perceptions of a science of learning intervention

  Beardsley, Marc; Martínez Moreno, Judit; Hernández Leo, Davinia (2020)

  Many students use ineffective learning strategies and lack confidence in their learning skills and knowledge. This paper presents the results of a pre- and post-survey study involving first-year university students that ...
• Comparing pre-service and in-service teacher perceptions of the science of learning

  Beardsley, Marc; Martínez Moreno, Judit; Hernández Leo, Davinia (2020)

  This paper presents the results of a survey on teacher formation and beliefs related to the science of learning (e.g. the science of how people learn) completed by in-service and pre-service teachers. The study results ...
• Deep embeddings with Essentia models

  Alonso-Jiménez, Pablo; Bogdanov, Dmitry; Serra, Xavier (2020)

  We present the integration of various CNN TensorFlow models developed for different MIR tasks into Essentia. This is a continuation of our previous work [1], extending the list of supported models and adding new algorithms ...
• Essentia.js: a JavaScript library for music and audio analysis on the web

  Correya, Albin Andrew; Bogdanov, Dmitry; Joglar-Ongay, Luis; Serra, Xavier (2020)

  Open-source software libraries for audio/music analysis and feature extraction have a significant impact on the development of Audio Signal Processing and Music Information Retrieval (MIR) systems. Despite the abundance of ...
• The Freesound Loop dataset and annotation tool

  Ramires, António; Font, Frederic; Bogdanov, Dmitry; Smith, Jordan B. L.; Yang, Yi-Hsuan; Ching, Joann; Chen, Bo-Yu; Wu, Yueh-Kao; Wei-Han, Hsu; Serra, Xavier (2020)

  Music loops are essential ingredients in electronic music production, and there is a high demand for pre-recorded loops in a variety of styles. Several commercial and community databases have been created to meet this ...
• Leveraging bitcoin testnet for bidirectional botnet command and control systems

  Franzoni, Francesco; Abellán Álvarez, Iván; Daza, Vanesa (2020)

  Over the past twenty years, the number of devices connected to the Internet grew exponentially. Botnets bene ted from this rise to increase their size and the magnitude of their attacks. However, they still have a weak ...
• TIV.lib: An open-source library for the tonal description of musical audio

  Ramires, António; Bernardes, Gilberto; Davies, Matthew E. P.; Serra, Xavier (DAFx, 2020)

  In this paper, we present TIV.lib, an open-source library for the content-based tonal description of musical audio signals. Its main novelty relies on the perceptually-inspired Tonal Interval Vector space based on the ...
• Exploring artist gender bias in music recommendation

  Shakespeare, Dougal; Porcaro, Lorenzo; Gómez Gutiérrez, Emilia, 1975-; Castillo, Carlos (CEUR Workshop Proceedings, 2020)

  Music Recommender Systems (mRS) are designed to give personalised and meaningful recommendations of items (i.e. songs, playlists or artists) to a user base, thereby reflecting and further complementing individual users’ ...
• Querying Freesound with a microphone

  Roma Trepat, Gerard; Serra, Xavier (Web Audio Conference, 2015)

  On the web, searching for sounds is usually limited to text queries. This requires adding textual descriptions to each audio file, which is indexed effectively as a text document. Recent developments in browser technologies ...
• Music performance by discovering community loops

  Roma Trepat, Gerard; Serra, Xavier (Web Audio Conference, 2015)

  Technologies for discovering sounds in large databases can help breaking the boundary between exploration and music performance. In this paper, we present a system for exploring loops from Freesound. Sound files are grouped ...
• Extending tagging ontologies with domain specific knowledge

  Font, Frederic; Oramas, Sergio; Fazekas, György; Serra, Xavier (CEUR Workshop Proceedings, 2014)

  Currently proposed tagging ontologies are mostly focused on the definition of a common schema for representing the agents involved in a tagging process. In this paper we describe preliminary research around the idea of ...
• Capacity of line-of-sight MIMO channels

  Do, Heedong; Lee, Namyoon; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  We establish an upper bound on the informationtheoretic capacity of line-of-sight (LOS) multiantenna channels with arbitrary antenna arrangements and identify array structures that, properly configured, can attain at least ...

View more