Biblio
] Filters: Author is Rafael Ramirez [Clear All Filters]
(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
(2010). An approach to predicting bowing control parameter contours in violin performance.
Intelligent Data Analysis. 14(5), 587-599.
(2006). Automatic characterization of ornamentation from bassoon recordings for expressive synthesis.
9th International Conference on Music Perception and Cognition. Abstract
(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.
(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).
(2016). Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach.
Department of Information and Communication Technologies. 158.
(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
(2016). Digital Musical Instruments for People with Physical Disabilities.
Department of Information and Communication Technologies. 163.
(2005). Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2015). EEG Signal classification in a Brain-Computer Music Interface.
8th International Workshop on Machine Learning and Music. 28-30.
(2007). An Evolutionary Computation Approach to Cognitive States Classification.
IEEE Congress on Evolutionary Computing. Abstract
(2009). Expressive Concatenative Synthesis by Reusing Samples from Real Performance Recordings.
Computer Music Journal. 33(4), 23-42. Abstract
(2008). Expressive Irish Fiddle Performance Model Informed with Bowing.
International Computer Music Conference. Abstract
(2008). Expressive Performance in the Human Tenor Voice.
Sound and Music Computing Conference. Abstract
(2016). The EyeHarp: A Gaze-Controlled Digital Musical Instrument.
Frontiers in Psychology . 7,
(2011). THE EYEHARP: AN EYE-TRACKING-BASED MUSICAL INSTRUMENT.
8th Sound and Music Computing Conference.
(2008). An fMRI Study on Attentive Music Listening.
The Neurosciences and Music. Abstract
(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
