Perez-Carrillo A. (2019?) The Violin Palette: Estimation of Violin Bowing from Audio Analysis for Enhanced Visual Feedback in Music Learning. Frontiers in Psychology, special issue on Performance Science. (under review).
Perez-Carrillo A. (2019?) Finger-String interaction analysis in Guitar Playing with Optical Motion Capture. Frontiers in Psychology, special issue on Performance Science. (under review).
Perez-Carrillo A. (2019) . Violin Timbre Navigator: Real-Time Visual Feedback of Violin Bowing Based on Audio Analysis and Machine Learning. MultiMedia Modeling, Lecture Notes on Computer Science, Springer Nature Switzerland AG. (on print, January 2019)
Ortega, F. J. M., Giraldo, S. I., Perez-Carrillo, A., Ramirez, R. (2019?). Phrase-Level modeling of expression in violin performances. Front. Psychol., special issue on Performance Science. (under review).
Dalmazzo, David, and Rafael Ramírez. (2019?) “Bowing Gestures Classification in Violin Performance: A Machine Learning Approach.” Frontiers in Psychology – Performance Science (accepted)
Ramirez R, Planas J, Escude N, Mercade J and Farriols C (2018) EEG-Based Analysis of the Emotional Effect of Music Therapy on Palliative Care Cancer Patients. Front. Psychol. 9:254. doi: 10.3389/fpsyg.2018.00254
M. Beardsley D. Hernández‐Leo R. Ramirez‐Melendez (2018), Seeking reproducibility: Assessing a multimodal study of the testing effect, Journal of Computer Assisted Learning, DOI: 10.1111/jcal.12265.
Giraldo, S., Ramirez, R., Waddell, G., Perez, A., Mayor, O., Nou, I., Ortega A., and Williamon, A.(2018). Automatic Assessment of Tone Quality in Violin Music Performance, Frontiers in psychology.
Kitahara, T, Giraldo, S, Ramireaz, R. (2018) JamSketch: a Drawing-based Improvisation Support System for Melody Creation. Frontiers in psychology.
Esteban Maestre, Panagiotis Papiotis, Marco Marchini, Quim Llimona, Oscar Mayor, Alfonso Perez, Marcelo M. Wanderley. (2017). Enriched Multimodal Representations of Music Performances: Online Access and Visualization. IEEE MultiMedia – 2017
A Machine Learning Approach to Discover Rules for Expressive Performance Actions in Jazz Guitar Music. Sergio I. Giraldo, Rafael Ramirez. Frontiers in Psychology – 7
Analysis of Movement Quality in Full-Body Physical Activities. Radoslaw Niewiadomski, Ksenia Kolykhalova, Stefano Piana, Paolo Alborno, Gualtiero Volpe, and Antonio Camurri. ACM Transactions on Interactive Intelligent Systems, 2017.
Katerina Kosta, Rafael Ramírez, Oscar F. Bandtlow & Elaine Chew (2016) Mapping between dynamic markings and performed loudness: a machine learning approach, Journal of Mathematics and Music, 10:2, 149-172, DOI: 10.1080/17459737.2016.1193237
José M. Iñesta, Darrell Conklin & Rafael Ramírez (2016) Machine learning and music generation, Journal of Mathematics and Music, 10:2, 87-91, DOI: 10.1080/17459737.2016.1216369
Giraldo, S., Ramirez, R. (2016). A machine learning approach to ornamentation modeling and synthesis in jazz guitar. Journal of Mathematics and Music, DOI: 10.1080/17459737.2016.1207814.
Vamvakousis Z and Ramirez R (2016) The EyeHarp: A Gaze-Controlled Digital Musical Instrument. Front. Psychol. 7:906. doi: 10.3389/fpsyg.2016.00906
Publications in Conferences and Workshops
E. Volta, M. Mancini, G. Varni, and G. Volpe (2018). Automatically measuring biomechanical skills of violin performance: an exploratory study. Proc. 5th Int’l Conf. on Movement and Computing (MOCO’18), 2018, article 16, 4 pages.
R. Ramírez, C. Canepa, S. Ghisio, K. Kolykhalova, M. Mancini, E. Volta, G. Volpe, S. I. Giraldo, O. Mayor, A. Pérez, G. Waddell, and A. Williamon (2018). Enhancing Music Learning with Smart Technologies. Proc. 5th Int’l Conf. on Movement and Computing (MOCO’18), 2018, article 49, 4 pages.
Giraldo, S., Ramirez, R., Waddell, G., and Williamon, A. (2018). Computational Modelling of Timbre Dimensions for Automatic Violin Tone Quality Assessment. In proc Timbre is a Many-Splendored Thing Conference. 4-7 July, McGill University, (Montreal, Canada), 57-58.
Dalmazzo, David, Simone Tassani, and Rafael Ramírez. “A Machine Learning Approach to Violin Bow Technique Classification: a Comparison Between IMU and MOCAP systems.” Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction. ACM, 2018. doi.org/10.1145/3266157.3266216
Giraldo, S., Ortega, A., Perez, A., Ramirez, R., Waddell, G., & Williamon, A. (2018, May). Automatic assessment of violin performance using dynamic time warping classification. In 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE.
Zacharias Vamvakousis, Alfonso Perez Carrillo, Rafael Ramirez.(2018) Acquisition of Violin Instrumental Gestures Using an Infrared Depth Camera. Sound and Music Computing Conference. July 2018, Limasol, Cyprus.
Giraldo, S., Ramirez, R., Waddell, G., and Williamon, A. (2017). A realtime feedback learning tool to visualize sound quality in violin performances. In 10th International Workshop on Machine Learning and Music (MML 2017) (Barcelona, Spain).
Kitahara, T., Giraldo, S. I., & Ramírez, R. (2017). Jamsketch: a drawing-based real-time evolutionary improvisation support system. In Proceedings of the 2017 NIME New Interfaces for Musical Expression Conference, Copenhagen, Denmark (pp. 505-506).
Squier, M., Giraldo, S., Ramirez, R. (2017) Computational modelling of expressive music performance in hexaphonic guitar . In proc. of the 10th International Workshop in Machine Learning and Music (MML 0217), Barcelona, Spain.
A. Perez-Carrillo, H. Purwins (2017). Estimation of violin bowing features from Audio recordings with Convolutional Networks. Conference and Workshop on Neural Information Processing Systems (NIPS). December 2017.
A. Perez-Carrillo (2017). Estimation of Bowing Parameters in Violin Playing from Audio Analysis. International Symposium on Performance Science. Reykjavik, Island. August 2017.
P. Fernandez Blanco, A Perez-Carrillo, M Ceresa (2017). Acquisition of Human Body Kinematic and Dynamic Features in Violin Performances with Kinect. MOTION Workshop at NIME (New Interfaces for Musical Expression), Copenhagen, Denmark, May 2017.
E. Maestre, P. Papiotis, M. Marchini, Q. Llimona, O Mayor, A Pérez (2017). Enriched Multimodal Representations of Music Performances: Online Access and Visualization. IEEE MultiMedia 24 (1), 24-34. 2017
Co-Creating a Gamified Solution for Music Learning. M. Margoudi, G. Waddell, M. Oliveira. 11th European Conference on Games Based Learning, Graz, 2017.
Hacking practice: Technology use and attitudes in music learning. George Waddell and Aaron Williamon. Abstracts of the International Symposium on Performance Science 2017. ISBN 9789935937803.
A market analysis of music learning: Challenges and opportunities. Anna Carreras, Ayman Moghnieh, Carles Sans, and Franki Sans. Abstracts of the International Symposium on Performance Science 2017. ISBN 9789935937803.
Dalmazzo, David, and Rafael Ramirez. “Air violin: a machine learning approach to fingering gesture recognition.” Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education. ACM, 2017. doi.org/10.1145/3139513.3139526.
Applying co-creation principles to develop a technology-enhanced learning solution for violinists. Maria Margoudi, Manuel Oliveira, George Waddell, and Aaron Williamon. Abstracts of the International Symposium on Performance Science 2017. ISBN 9789935937803.
A computational approach for measuring performance quality in violin tones. Sergio Giraldo, Rafael Ramirez, George Waddell, and Aaron Williamon. Abstracts of the International Symposium on Performance Science 2017. ISBN 9789935937803.
A multimodal corpus for technology enhanced learning of violin playing. Gualtiero Volpe, Ksenia Kolykhalova, Erica Volta, Simone Ghisio, George Waddell, Paolo Alborno, Stefano Piana, Corrado Canepa, and Rafael Ramirez. Proceedings of CHItaly2017.
Statistical models for the indirect acquisition of violin bowing controls from audio analysis. Proceedings of Meetings on Acoustics 172ASA 29 (1), 035003.
Ortega, F. J. M., Giraldo, S. I., Ramirez, R. (2017). Bowing modeling for violin students assistance. In Proceedings of the 1st International Workshop on Multimodal Interaction for Education, 60-62. doi: 10.1145/3139513.3139525.
Ortega, F. J. M., Giraldo, S. I., Ramirez, R. (2017). Phrase-level modeling of expression in violin performances. In Proceedings of the 10th International Workshop on Machine Learning and Music, 49-54.
Estimation of bowing parameters in violin playing from audio analysis. Alfonso Perez-Carrillo. International Symposium on Performance Science, 2017.
Acquisition of Human Body Kinematic and Dynamic Features in Violin Performances with Kinect. Pablo Fernandez Blanco, Alfonso Perez-Carrillo, Mario Ceresa. First International Workshop on Motor Learning For Music Performance, 2017.
Synchronized Multimodal Recording and Analysis of Violin Performance with Motion Capture Systems. Ksenia Kolykhalova, Erica Volta, Simone Ghisio, Corrado Canepa, and Gualtiero Volpe. International Conference on New Interfaces for Musical Expression (NIME), 2017.
Capturing High-Quality Violin Performance Data. Ksenia Kholykhalova, Erica Volta, George Waddell, Aaron Williamon, Simone Ghisio, Corrado Canepa, Rafael Ramirez, and Gualtiero Volpe. International Symposium on Performance Science, 2017.
TELMI Workshop: Demonstration of the First Prototype. Rafael Ramirez, Gualtiero Volpe, Corrado Canepa, Paolo Coletta, Sergio Giraldo, Simone Ghisio, Ksenia Kholykhalova, Oscar Mayor, Alfonso Perez, Erica Volta, George Waddell, and Aaron Williamon. International Symposium on Performance Science, 2017.
Informing bowing and violin learning using movement analysis and machine learning. Erica Volta, Paolo Alborno, and Gualtiero Volpe. 10th International Workshop on Machine Learning and Music, 2017.
Game-based Learning of Musical Instruments: A Review and Recommendations. M. Oliveira, G. Waddel and M. Margoudi. 10th European Conference on Games Based Learning, Paisley, October 2016.
A Genetic Approach for Evaluation of Computational Models for Expressive Music Performance in Jazz Guitar. Sergio Giraldo and Rafael Ramirez. 9th International Workshop on Machine Learning, 2016.
Hexaphonic guitar transcription and visualisation. Iñigo Angulo Ortegui, Sergio Giraldo, Rafael Ramirez. Second International Conference on Technologies for Music Notation and Representation. 2016.
Jazz ensemble expressive performance modeling. Helena Bantula, Sergio Giraldo and Rafael Ramirez. 17th International Society for Music Information Retrieval Conference, 2016.
Bantula, H., Giraldo, S., and Ramirez, R. (2016). Jazz expressive performance modelling. In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016) held in New York, USA, Ago 12.
