Biblio

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F
Celma, Ò., Ramirez R., & Herrera P. (2005).  Foafing the music: A music recommendation system based on RSS feeds and user preferences. 6th International Conference on Music Information Retrieval (ISMIR). 464-467. Abstract
Ramirez, R. (2008).  An fMRI Study on Attentive Music Listening. The Neurosciences and Music. Abstract
T
Vamvakousis, Z., & Ramirez R. (2011).  THE EYEHARP: AN EYE-TRACKING-BASED MUSICAL INSTRUMENT. 8th Sound and Music Computing Conference.
E
Vamvakousis, Z., & Ramirez R. (2016).  The EyeHarp: A Gaze-Controlled Digital Musical Instrument. Frontiers in Psychology . 7,
Marinescu, M., & Ramirez R. (2008).  Expressive Performance in the Human Tenor Voice. Sound and Music Computing Conference. Abstract
Pérez, A., Maestre E., Ramirez R., & Kersten S. (2008).  Expressive Irish Fiddle Performance Model Informed with Bowing. International Computer Music Conference. Abstract
Maestre, E., Ramirez R., Kersten S., & Serra X. (2009).  Expressive Concatenative Synthesis by Reusing Samples from Real Performance Recordings. Computer Music Journal. 33(4), 23-42. Abstract
Hazan, A., Grachten M., & Ramirez R. (2006).  Evolving performance models by performance similarity beyond note-to-note transformations. Abstract
Ramirez, R., & Puiggròs M. (2007).  An Evolutionary Computation Approach to Cognitive States Classification. IEEE Congress on Evolutionary Computing. Abstract
Vamvakousis, Z., & Ramirez R. (2015).  EEG Signal classification in a Brain-Computer Music Interface. 8th International Workshop on Machine Learning and Music. 28-30.
D
Ramirez, R., Hazan A., Gómez E., Maestre E., & Serra X. (2005).  Discovering Expressive Transformation Rules from Saxophone Jazz Performances. Journal of New Music Research. 34, 319-330. Abstract
Vamvakousis, Z. (2016).  Digital Musical Instruments for People with Physical Disabilities. Department of Information and Communication Technologies. 163.
C
Kersten, S., Maestre E., & Ramirez R. (2008).  Concatenative Synthesis of Expressive Saxophone Performance. Sound and Music Computing Conference. Abstract
Giraldo, S., & Ramirez R. (2015).  Computational Modelling of Ornamentation in Jazz Guitar Music. International Symposium in Performance Science. 150-151.
application/pdf iconISPS 2015
Giraldo, S. (2016).  Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach. Department of Information and Communication Technologies. 158.
Kroher, N., Gómez E., & Ramirez R. (2013).  Caracterización automática del cante flamenco a base de análisis de grabaciones.. Investigación y Flamenco (INFLA).
B
Vamvakousis, Z., & Ramirez R. (2012).  A Brain-Gaze Controlled Musical Interface. Berlin BCI Workshop 2012 - Advances in Neurotechnology.
application/pdf iconBrEyeHarpPoster.pdf
Giraldo, S., & Ramirez R. (2013).  BRAIN-ACTIVITY-DRIVEN REAL-TIME MUSIC EMOTIVE CONTROL. 3rd International Conference on Music & Emotion (ICME3).
application/pdf iconSergio Giraldo - Brain-Activity-Driven Real-Time Music Emotive Control.pdf
Ortega, F. J. M., Giraldo S. I., & Ramirez R. (2017).  Bowing Modeling for Violin Students Assistance. Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education. 60–62. Abstract
A
Ramirez, R., Maestre E., & Serra X. (2010).  Automatic performer identification in commercial monophonic Jazz performances. Pattern Recognition Letters. 31(12), 1514-1523.
Ramirez, R., Maestre E., Pérez A., & Serra X. (2011).  Automatic Performer Identification in Celtic Violin Audio Recordings. Journal of New Music Research. 40(2), 165-174. Abstract
Puiggròs, M., Gómez E., Ramirez R., Serra X., & Bresin R. (2006).  Automatic characterization of ornamentation from bassoon recordings for expressive synthesis. 9th International Conference on Music Perception and Cognition. Abstract
Maestre, E., & Ramirez R. (2010).  An approach to predicting bowing control parameter contours in violin performance. Intelligent Data Analysis. 14(5), 587-599.
Ramirez, R., & Hazan A. (2005).  An Approach to Expressive Music Performance Modeling. 118th Audio Engineering Society Convention. Abstract
Dalmazzo, D. C., & Ramirez R. (2017).  Air Violin: A Machine Learning Approach to Fingering Gesture Recognition. MIE’17, November 13, 2017, Glasgow, UK. 4. Abstract
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