Browsing by Author "Giraldo, Sergio"

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  • 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 ...
  • 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 ...
  • Giraldo, Sergio; Ortega, Ariadna; Perez, Alfonso; 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...