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Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Author "Ramírez, Rafael,1966-"

Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Author "Ramírez, Rafael,1966-"

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  • 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) ...
  • 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 ...
  • 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 ...
  • Dalmazzo, David; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2017)
    We train and evaluate two machine learning models for predicting fingering in violin performances using motion and EMG sensors integrated in the Myo device. Our aim is twofold: first, provide a fingering recognition model ...
  • Giraldo, Sergio; Ortega, Ariadna; Pérez Carrillo, Alfonso Antonio, 1977-; Ramírez, Rafael,1966-; Waddell, George; Williamon, Aaron (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    The automatic assessment of music performance has become an area of special interest due to the increasing amount of technology-enhanced music learning systems. However, in most of these systems the assessment of the musical ...
  • Puiggròs, Montserrat; Gómez Gutiérrez, Emilia, 1975-; Ramírez, Rafael,1966-; Serra, Xavier; Bresin, Roberto (Bononia University Press, 2006)
    Expressive performance characterization is traditionally based on the analysis of the main differences between performances, players, playing styles and emotional intentions. This work addresses the characterization of ...
  • Ortega, Fabio J. M.; Giraldo, Sergio; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2017)
    Though musicians tend to agree on the importance of practicing expressivity in performance, not many tools and techniques are available for the task. A machine learning model is proposed for predicting bowing velocity ...
  • Sayis, Batuhan; Crowell, Ciera; Benitez, Juan Pablo; Ramírez, Rafael,1966-; Parés, Narcís, 1966- (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    This study is part of a larger project that wants to foster social initiation behaviors in children with Autism Spectrum Disorder (ASD). We approach this through a full-body interactive Mixed Reality (MR) experience that ...
  • 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 ...
  • 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. ...
  • 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 ...
  • Blanco, Angel David; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2017)
    We present a study of the effects of feedback technologies on the learning process of novice violin students. Twenty-one subjects participated in our experiment, divided into two groups: Beginners (participants with no ...
  • Maestre Gómez, Esteban; Pérez Carrillo, Alfonso Antonio, 1977-; Ramírez, Rafael,1966- (International Computer Music Association, 2010)
    This paper presents a framework in which samples of bowing gesture parameters are retrieved and concatenated from a database of violin performances by attending to an annotated input score. Resulting bowing parameter signals ...
  • 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 ...
  • 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 ...
  • Kitahara, Tetsuro; Giraldo, Sergio; Ramírez, Rafael,1966- (Springer, 2017)
    Improvisation is an enjoyable form of music performance but requires advanced skills and knowledge of music because the player has to create melodies immediately during the performance. To support improvisations by people ...
  • Bantula, Helena; Giraldo, Sergio; Ramírez, Rafael,1966- (International Society for Music Information Retrieval (ISMIR), 2016)
    Computational expressive music performance studies the analysis and characterisation of the deviations that a musician introduces when performing a musical piece. It has been studied in a classical context where timing and ...
  • 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 ...
  • Ortega, Fabio J. M.; Giraldo, Sergio; Ramírez, Rafael,1966- (Machine Learning and Music (MML), 2017)
    A model is proposed for predicting expressive variations in dynamics for violin performances with the purpose of facilitating expressive performance learning by students. The model uses phrases rather than single notes as ...
  • Muneratti Ortega, Fábio Jose; Pérez Carrillo, Alfonso Antonio, 1977-; Ramírez, Rafael,1966- (Springer, 2019)
    We present a machine–learning model for predicting the performance dynamics in melodic motifs from classical pieces based on musically–meaningful features calculated from score–like symbolic representation. This model is ...

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