• BAT: An open-source, web-based audio events annotation tool

  Meléndez Catalán, Blai; Molina, Emilio; Gómez Gutiérrez, Emilia, 1975- (2017)

  In this paper we present BAT (BMAT Annotation Tool), an open-source, web-based tool for the manual annotation of events in audio recordings developed at BMAT (Barcelona Music and Audio Technologies1). The main feature ...
• On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns

  Ferraro, Andrés; Lemström, Kjell (ACM Association for Computer Machinery, 2018)

  The importance of repetitions in music is well-known. In this paper, we study music repetitions in the context of effective and efficient automatic genre classification in large-scale music-databases. We aim at enhancing ...
• A Vocoder based method for singing voice extraction

  Chandna, Pritish; Blaauw, Merlijn; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  This paper presents a novel method for extracting the vocal track from a musical mixture. The musical mixture consists of a singing voice and a backing track which may comprise of various instruments. We use a convolutional ...
• The Potential of light fields in media productions

  Trottnow, Jonas; Spielmann, Simon; Lange, Tobias; Chelli, Kelvin; Solony, Marek; Smrž , Pavel; Zemčík, Pavel; Aenchbacher, Weston; Grogan, Mairéad; Alain, Martin; Smolic, Aljosa; Canham, Trevor; Vu-Thanh, Olivier; Vazquez-Corral, Javier; Bertalmío, Marcelo (ACM Association for Computer Machinery, 2019)

  One aspect of the EU funded project SAUCE is to explore the pos-sibilities and challenges of integrating light field capturing andprocessing into media productions. A special light field camera wasbuild by Saarland University ...
• Performance evaluation of objective quality metrics on HLG-based HDR image coding

  Sugito, Yasuko; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  We evaluate the performance of objective quality metrics for high dynamic range (HDR) image coding that uses the transfer function (TF) of the Hybrid Log-Gamma (HLG) method. Previous evaluations of objective metrics ...
• On the duality between retinex and image dehazing

  Galdran, Adrian; Bria, Alessandro; Álvarez-Gila, Aitor; Vazquez-Corral, Javier; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  Image dehazing deals with the removal of undesired lossof visibility in outdoor images due to the presence of fog.Retinex is a color vision model mimicking the ability ofthe Human Visual System to robustly discount varying ...
• INGENIOUS: the first responder of the future. A next generation integrated toolkit for collaborative response, increasing protection and augmenting operational capacity.

  Institute of Communications and Computer Systems; Universiteit Twente; Deutsches Zentrum Fuer Luft – Und Raumfahrt; Diginext; Fundacion Tekniker; Exus; SINTEF; Center for Research & Technology Hellas; Totalförvarets Forskningsinstitut; SATWAYS; Alpes Lasers; Technische Universitaet Wien; Cyprus Research & Innovation Center; Universitat Pompeu Fabra; SingularLogic; Korea Institute of Robot & Convergence; Gobierno Vasco, Departamento de Seguridad; Hopitaux de Paris (SafeCorfu, 2019)

  The INGENIOUS project (EU Horizon 2020) aims to develop, integrate, test, deploy, demonstrate and validate a Next Generation Integrated Toolkit (NGIT) for Collaborative Response, which ensures high level of Protection & ...
• Enhancing music learning with smart technologies

  Ramírez, Rafael,1966-; Canepa, Corrado; Ghisio, Simone; Kolykhalova, Ksenia; Mancini, Maurizio; Volta, Erica; Volpe, Gualtiero; Giraldo, Sergio; Mayor, Oscar; Perez, Alfonso; Waddell, George; Williamon, Aaron (ACM Association for Computer Machinery, 2018)

  Learning to play a musical instrument is a difficult task, requiring the development of sophisticated skills. Nowadays, such a learning process is mostly based on the master-apprentice model. Technologies are rarely ...
• A Machine learning approach to violin bow technique classification: a comparison between IMU and MOCAP systems

  Dalmazzo, David; Tassani, Simone; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2018)

  Motion Capture (MOCAP) Systems have been used to analyze body motion and postures in biomedicine, sports, rehabilitation, and music. With the aim to compare the precision of low-cost devices for motion tracking (e.g. Myo) ...
• Interweaving and enriching digital music collections for scholarship, performance, and enjoyment

  Weigl, David M.; Goebl, Werner; Crawford, Tim; Gkiokas, Aggelos; Gutierrez, Nicolas F.; Porter, Alastair; Santos, Patricia; Karreman, Casper; Vroomen, Ingmar; Liem, Cynthia C. S.; Sarasúa, Álvaro; van Tilburg, Marcel (ACM Association for Computer Machinery, 2019)

  The turn toward the digital has opened up previously difficult to access musical materials to wider musicological scholarship. Digital repositories provide access to publicly licensed score images, score encodings, textual ...
• JamSketch: a drawing-based real-time evolutionary improvisation support system

  Kitahara, Tetsuro; Giraldo, Sergio; Ramírez, Rafael,1966- (Aalborg University Copenhagen, 2017)

  In this paper, we present JamSketch, a real-time improvisation support system which automatically generates melodies according to melodic outlines drawn by the users. The system generates the improvised melodies based on ...
• Acquisition of violin instrumental gestures using an infrared depth camera

  Vamvakousis, Zacharias; Perez, Alfonso; Ramírez, Rafael,1966- (Cyprus University of Technology, 2018)

  We present a low-cost six-degrees of freedom violin and bow pose-tracking system. The infrared and depth streams of an infrared-based Microsoft Kinect Mbox One depth camera are utilized to track the 3-dimensional position ...
• Computational modelling of timbre dimensions for automatic violin tone quality assessment

  Giraldo, Sergio; Ramírez, Rafael,1966-; Waddell, George; Williamon, Aaron (McGill University, 2018)

  Automatic assessment of music performance is an open research area widely studied in the past. A vast amount of systems aiming to enhance the learning process of a musical instrument are being developed in the recent years. ...
• Computational modelling of expressive music performance in hexaphonic guitar

  Siquier, Marc; Giraldo, Sergio; Ramírez, Rafael,1966- (Machine Learning and Music (MML), 2017)

  Computational modelling of expressive music performance has been widely studied in the past. While previous work in this area has been mainly focused on classical piano music, there has been very little work on guitar ...
• A Real-time feedback learning tool to visualize sound quality in violin performances

  Giraldo, Sergio; Ramírez, Rafael,1966-; Waddell, George; Williamon, Aaron (Machine Learning and Music (MML), 2017)

  The assessment of the sound properties of a performed mu- sical note has been widely studied in the past. Although a consensus exist on what is a good or a bad musical performance, there is not a formal de nition of ...
• Neural correlates of bow learning technique

  Blanco, Angel; Ramírez, Rafael,1966- (Machine Learning and Music (MML), 2017)

  In this work we want to study the process of learning a musical instrument through the use of audio descriptors and EEG. Twelve subjects participated in our experiment. Subjects were divided into two groups: a group ...
• Hexaphonic guitar transcription and visualisation

  Angulo, Iñigo; Giraldo, Sergio; Ramírez, Rafael,1966- (Anglia Ruskin University, 2016)

  Music representation has been a widely researched topic through centuries. Transcription of music through the conventional notation system has dominated the field, for the best part of the last centuries. However, this ...
• New techniques for structural batch verification in bilinear groups with applications to groth-Sahai proofs

  Herold, Gottfried; Hoffmann, Max; Klooß, Michael; Ràfols, Carla; Rupp, Andy (ACM Association for Computer Machinery, 2017)

  Bilinear groups form the algebraic setting for a multitude of important cryptographic protocols including anonymous credentials, e-cash, e-voting, e-coupon, and loyalty systems. It is typical of such crypto protocols ...
• A connection between image processing and artificial neural networks layers through a geometric model of visual perception

  Batard, Thomas; Maldonado, Eduard Ramon; Steidl, Gabriele; Bertalmío, Marcelo (Springer, 2019)

  In this paper, we establish a connection between image processing, visual perception, and deep learning by introducing a mathematical model inspired by visual perception from which neural network layers and image ...
• A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations

  Bertalmío, Marcelo; Calatroni, Luca; Franceschi, Valentina; Franceschiello, Benedetta; Prandi, Dario (Springer, 2018)

  We consider a differential model describing neuro-physiological contrast percep- tion phenomena induced by surrounding orientations. The mathematical formulation relies on a cortical-inspired modelling [10] largely used ...

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