Biblio
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(2016). Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach.
Department of Information and Communication Technologies. 158.
(2016). Digital Musical Instruments for People with Physical Disabilities.
Department of Information and Communication Technologies. 163.
(2010). An approach to predicting bowing control parameter contours in violin performance.
Intelligent Data Analysis. 14(5), 587-599.
(2011). Automatic Performer Identification in Celtic Violin Audio Recordings.
Journal of New Music Research. 40(2), 165-174. Abstract
(2010). Automatic performer identification in commercial monophonic Jazz performances.
Pattern Recognition Letters. 31(12), 1514-1523.
(2005). Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2009). Expressive Concatenative Synthesis by Reusing Samples from Real Performance Recordings.
Computer Music Journal. 33(4), 23-42. Abstract
(2016). The EyeHarp: A Gaze-Controlled Digital Musical Instrument.
Frontiers in Psychology . 7,
(2008). A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2016). A Machine learning approach to discover rules for expressive performance actions in jazz guitar music.
Frontiers in Psycology. 7, 1965. Abstract
(2010). Modeling Violin Performances Using Inductive Logic Programming.
Intelligent Data Analysis.
(2015). Musical neurofeedback for treating depression in elderly people.
Frontiers in Neuroscience. 9(354),
(2007). Performance-based Interpreter Identification in Saxophone Audio Recordings.
IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364. Abstract
(2012). A Rule-Based Evolutionary Approach to Music Performance Modeling.
IEEE Transactions on Evolutionary Computation. 16(1), 96 - 107. Abstract
(2014). The Sense of Ensemble: a Machine Learning Approach to Expressive Performance Modelling in String Quartets.
Journal of New Music Research. 43, 303-317.
(2006). A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies.
International Journal on Artificial Intelligence Tools. 15, 673-691. Abstract
(2017). Air Violin: A Machine Learning Approach to Fingering Gesture Recognition.
MIE’17, November 13, 2017, Glasgow, UK. 4. Abstract
(2005). An Approach to Expressive Music Performance Modeling.
118th Audio Engineering Society Convention. Abstract
(2006). Automatic characterization of ornamentation from bassoon recordings for expressive synthesis.
9th International Conference on Music Perception and Cognition. Abstract
(2017). Bowing Modeling for Violin Students Assistance.
Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education. 60–62. Abstract
(2013). BRAIN-ACTIVITY-DRIVEN REAL-TIME MUSIC EMOTIVE CONTROL.
3rd International Conference on Music & Emotion (ICME3).
(2012). A Brain-Gaze Controlled Musical Interface.
Berlin BCI Workshop 2012 - Advances in Neurotechnology.
(2013). Caracterización automática del cante flamenco a base de análisis de grabaciones..
Investigación y Flamenco (INFLA).
(2015). Computational Modelling of Ornamentation in Jazz Guitar Music.
International Symposium in Performance Science. 150-151.
(2008). Concatenative Synthesis of Expressive Saxophone Performance.
Sound and Music Computing Conference. Abstract
