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Listar Congressos (Departament de Tecnologies de la Informació i les Comunicacions) por autoría

Listar Congressos (Departament de Tecnologies de la Informació i les Comunicacions) por autoría "Ramírez, Rafael,1966-"

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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) ...
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 ...
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 ...
Air violin: a machine learning approach to fingering gesture recognition

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 ...
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 ...
Automatic characterization of ornamentation from bassoon recordings for expressive synthesis

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 ...
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 modeling of psycho-physiological arousal and social initiation of children with autism in interventions through full-body interaction

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 ...
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 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 ...
Evaluation of audio-based feedback technologies for bow learning technique in violin beginners

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 ...
Gesture sampling for instrumental sound synthesis: violin bowing as a case study

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 ...
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 ...
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 ...
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 ...
Predicting dynamics in violin pieces with features from melodic motifs

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 ...