Browsing by Author "Giraldo, Sergio"

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  • A Machine learning approach to discover rules for expressive performance actions in jazz guitar music
    Giraldo, Sergio; Ramírez, Rafael,1966- (Frontiers, 2016)
    Expert musicians introduce expression in their performances by manipulating sound properties such as timing, energy, pitch, and timbre. Here, we present a data driven computational approach to induce expressive performance ...
  • A Machine learning approach to ornamentation modeling and synthesis in jazz guitar
    Ramírez, Rafael,1966-; Giraldo, Sergio (Taylor & Francis, 2016)
    We present a machine learning approach to automatically generate expressive (ornamented) jazz performances from un-expressive music scores. Features extracted from the scores and the corresponding audio recordings performed ...
  • 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 ...
  • Automatic assessment of tone quality in violin music performance
    Giraldo, Sergio; Waddell, George; Nou Plana, Ignasi; Ortega, Ariadna; Mayor, Oscar; Perez, Alfonso; Williamon, Aaron; Ramírez, Rafael,1966- (Frontiers, 2019)
    The automatic assessment of music performance has become an area of increasing interest due to the growing number of technology-enhanced music learning systems. In most of these systems, the assessment of musical performance ...
  • Automatic assessment of violin performance using dynamic time warping classification
    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 ...
  • Bowing modeling for violin students assistance
    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 ...
  • 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 ...
  • Computational modelling of expressive music performance in jazz guitar: a machine learning approach
    Giraldo, Sergio (Universitat Pompeu Fabra, 2016-09-16)
    Computational modelling of expressive music performance deals with the analysis and characterization of performance deviations from the score that a musician may introduce when playing a piece in order to add expression. ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • JamSketch: improvisation support system with GA-based melody creation from user’s drawing
    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 ...
  • Jazz ensemble expressive performance modeling
    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 ...
  • Measuring the impacts of extra-musical elements in guitar music playing: a pilot study
    Héroux, Isabelle; Giraldo, Sergio; Ramírez, Rafael,1966-; Dubé, Francis; Creech, Andrea; Thouin-Poppe, Louis-Édouard (Frontiers, 2020)
    Philosophers, composers, and musicians have long argued whether instrumental music finds meaning in its formal structure and musical content (Hanslick, 1986) or through reference to extra-musical elements, like narratives, ...
  • Musical neurofeedback for treating depression in elderly people
    Ramírez, Rafael,1966-; Palencia-Lefler Ors, Manuel; Giraldo, Sergio; Vamvakousis, Zacharias (Frontiers, 2015)
    We introduce a new neurofeedback approach, which allows users to manipulate expressive parameters in music performances using their emotional state, and we present the results of a pilot clinical experiment applying the ...
  • Phrase-Level modeling of expression in violin performances
    Ortega, Fabio J. M.; Giraldo, Sergio; Pérez Carrillo, Alfonso Antonio, 1977-; Ramírez, Rafael,1966- (Frontiers, 2019)
    Background: Expression is a key skill in music performance, and one that is difficult to address in music lessons. Computational models that learn from expert performances can help providing suggestions and feedback to ...
  • Phrase-level modeling of expression in violin performances
    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 ...