Biblio
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SMS3d: An application for the visualization of SMS data.
International Conference on Digital Audio Effects. Abstract
(1998).
Statistical Modeling of Bowing Control applied to Violin Sound Synthesis.
IEEE Transactions on Audio, Speech, and Language Processing .
(2010).
Statistical Modeling of Violin Bowing Parameter Contours.
International Computer Music Conference. Abstract
(2009).
Using concatenative synthesis for expressive performance in jazz saxophone.
International Computer Music Conference. Abstract
(2006).
Gesture sampling for instrumental sound synthesis: violin bowing as a case study.
International Computer Music Conference. Abstract
(2010).
Digital Modeling of Bridge Driving-Point Admittances from Measurements on Violin-Family Instruments.
Stockholm Music Acoustics Conference 2013 & Sound and Music Computing Conference 2013. Abstract
(2013).
Modeling instrumental gestures: an analysis/synthesis framework for violin bowing.
Department of Information and Communication Technologies. Abstract
(2009).
An approach to predicting bowing control parameter contours in violin performance.
Intelligent Data Analysis. 14(5), 587-599.
(2010).
(2014).
Enriched Multimodal Representations of Music Performances: Online Access and Visualization.
IEEE MultiMedia. 24(1), 24-34. Abstract
(2017).
Modeling musical articulation gestures in singing voice performances.
AES 121th Convention. Abstract
(2006).
(2005).
(2006).
Acquisition of violin instrumental gestures using a commercial EMF device.
International Computer Music Conference. Abstract
(2007).
Expressive Concatenative Synthesis by Reusing Samples from Real Performance Recordings.
Computer Music Journal. 33(4), 23-42. Abstract
(2009).
A hair ribbon deflection model for low-intrusiveness measurement of bow force in violin performance..
New Interfaces for Musical Creation (NIME 2011). Abstract
(2011).
The Sense of Ensemble: a Machine Learning Approach to Expressive Performance Modelling in String Quartets.
Journal of New Music Research. 43, 303-317.
(2014).
Inducing rules of ensemble music performance: a machine learning approach.
3rd international conference on Music & Emotion, Jyväskylä.
(2013).
Investigating the relationship between expressivity and synchronization in ensemble performance: an exploratory study.
International Symposium on Performance Science, Vienna.
(2013).
Unsupervised Generation of Percussion Sound Sequences from a Sound Example.
Sound and Music Computing Conference. Abstract
(2010).
Unsupervised Analysis and Generation of Audio Percussion Sequences.
( , Ed.).Exploring Music Contents. 6684, 205-218.
(2011).
An Unsupervised System for the Synthesis of Variations from Audio Percussion Patterns.
7th International Symposium on Computer Music Modeling and Retrieval (CMMR). 277-278. Abstract
(2010).
Analysis of Ensemble Expressive Performance in String Quartets: a Statistical and Machine Learning Approach.
Department of Information and Communication Technologies. Abstract
(2014).