Biblio

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A
Garcia, F., Vinceslas L., & Maestre E. (2011).  Acquisition and study of blowing pressure profiles in recorder playing. NIME. Abstract
application/pdf iconnime2011-1.pdf
Maestre, E., Bonada J., Blaauw M., Pérez A., & Guaus E. (2007).  Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference. Abstract
Coleman, G., Bonada J., & Maestre E. (2011).  Adding Dynamic Smoothing to Mixture Mosaicing Synthesis. Spars11: Workshop on Signal Processing with Adaptive Sparse Structured Representations. Abstract
application/pdf icondynmos_spars11.pdf
Maestre, E., & Ramirez R. (2010).  An approach to predicting bowing control parameter contours in violin performance. Intelligent Data Analysis. 14(5), 587-599.
Coleman, G., Maestre E., & Bonada J. (2010).  Augmenting Sound Mosaicing with Descriptor-driven Transformation. Digital Audio Effects. Abstract
application/pdf icondafx10_augmos.pdf
Papiotis, P., Herrera P., Marchini M., & Maestre E. (2013).  Aural-based detection and assessment of real versus artificially synchronized string quartet performance. 3rd International Conference on Music & Emotion. Abstract
application/pdf iconICME3_PapiotisEtAl.pdf
Maestre, E., & Gómez E. (2005).  Automatic characterization of dynamics and articulation of expressive monophonic recordings. AES 118th Convention. Abstract
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
Ramirez, R., Maestre E., & Serra X. (2010).  Automatic performer identification in commercial monophonic Jazz performances. Pattern Recognition Letters. 31(12), 1514-1523.
B
Maestre, E., Spa C., & Smith J. (2014).  A BOWED STRING PHYSICAL MODEL INCLUDING FINITE-WIDTH THERMAL FRICTION AND HAIR DYNAMICS. ICMC-SMC. Abstract
application/pdf iconManuscript
C
Guaus, E., Bonada J., Maestre E., Pérez A., & Blaauw M. (2009).  Calibration method to measure accurate bow force for real violin performances . (Scavone, G., Ed.).International Computer Music Conference. 251-254. Abstract
Maestre, E. (2006).  Coding Instrumental Gestures. Towards a quantitative description of instrumental gestures in excitation-continuous musical instruments. Abstract
Pérez, A., Bonada J., Maestre E., Guaus E., & Blaauw M. (2007).  Combining Performance Actions with Spectral Models for Violin Sound Transformation. International Congress on Acoustics. Abstract
Papiotis, P., Marchini M., & Maestre E. (2012).  Computational analysis of solo versus ensemble performance in string quartets: Dynamics and Intonation. 12th International Conference on Music Perception and Cognition. Abstract
application/pdf iconICMPC2012-Papiotis.pdf
Papiotis, P. (2016).  A computational approach to studying interdependence in string quartet performance. Abstract
application/pdf icontpp.pdf
Kersten, S., Maestre E., & Ramirez R. (2008).  Concatenative Synthesis of Expressive Saxophone Performance. Sound and Music Computing Conference. Abstract
D
Maestre, E., Scavone G., & Smith J. (2013).  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
application/pdf iconsmac_adm_2013_v3.pdf
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
E
Camurri, A., Bevilacqua F., Bresin R., Maestre E., Penttinen H., Seppänen J., et al. (2009).  Embodied music listening and making in context-aware mobile applications: the EU-ICT SAME Project. Gesture Workshop 2009..
Maestre, E., Papiotis P., Marchini M., Llimona Q., Mayor O., Pérez A., et al. (2017).  Enriched Multimodal Representations of Music Performances: Online Access and Visualization. IEEE MultiMedia. 24(1), 24-34. 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
Pérez, A., Maestre E., Ramirez R., & Kersten S. (2008).  Expressive Irish Fiddle Performance Model Informed with Bowing. International Computer Music Conference. Abstract
F
Ramirez, R., & Maestre E. (2009).  A Framework for Performer Identification in Audio Recordings. International Workshop on Machine Learning and Music - ECML-PKDD 09. Abstract
G
Ramirez, R., Hazan A., Maestre E., & Serra X. (2008).  A Genetic Rule-based Expressive Performance Model for Jazz Saxophone. Computer Music Journal. 32, 38-50. Abstract
Maestre, E., Pérez A., & Ramirez R. (2010).  Gesture sampling for instrumental sound synthesis: violin bowing as a case study. International Computer Music Conference. Abstract
application/pdf iconicmc_maestre_perez_ramirez2010.pdf
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