Note: This bibliographic page is archived and will no longer be updated. For an up-to-date list of publications from the Music Technology Group see the Publications list .

Biblio

Filters: Author is E. Maestre
2017
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
2016
Papiotis, P. (2016). A computational approach to studying interdependence in string quartet performance . Abstract
2014
Maestre, E. , Spa C. , & Smith J. (2014). A BOWED STRING PHYSICAL MODEL INCLUDING FINITE-WIDTH THERMAL FRICTION AND HAIR DYNAMICS . ICMC-SMC. Abstract
Papiotis, P. , Marchini M. , Perez A. , & Maestre E. (2014). Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data . Frontiers in Psychology. 5, Abstract
Marchini, M. , Ramirez R. , Papiotis P. , & Maestre E. (2014). The Sense of Ensemble: a Machine Learning Approach to Expressive Performance Modelling in String Quartets . Journal of New Music Research. 43, 303-317.
2013
Papiotis, P. , Marchini M. , & Maestre E. (2013). Multidimensional analysis of interdependence in a string quartet . International Symposium on Performance Science. Abstract
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
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
Marchini, M. , Ramirez R. , Papiotis P. , & Maestre E. (2013). Inducing rules of ensemble music performance: a machine learning approach . 3rd international conference on Music & Emotion, Jyväskylä.
Marchini, M. , Papiotis P. , & Maestre E. (2013). Investigating the relationship between expressivity and synchronization in ensemble performance: an exploratory study . International Symposium on Performance Science, Vienna.
Mayor, O. , Llimona Q. , Marchini M. , Papiotis P. , & Maestre E. (2013). repoVizz: a Framework for Remote Storage, Browsing, Annotation, and Exchange of Multi-modal Data . ACM International Conference on Multimedia (MM'13). Abstract
2012
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
Ramirez, R. , Maestre E. , & Serra X. (2012). A Rule-Based Evolutionary Approach to Music Performance Modeling . IEEE Transactions on Evolutionary Computation. 16 (1), 96 - 107. Abstract
2011
Garcia, F. , Vinceslas L. , & Maestre E. (2011). Acquisition and study of blowing pressure profiles in recorder playing . NIME. Abstract
Marchini, M. , Papiotis P. , Maestre E. , & Pérez A. (2011). A hair ribbon deflection model for low-intrusiveness measurement of bow force in violin performance. . New Interfaces for Musical Creation (NIME 2011). 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
Papiotis, P. , Marchini M. , Maestre E. , & Pérez A. (2011). Measuring ensemble synchrony through violin performance parameters: a preliminary progress report . 2nd Workshop of Social Behavior in Music (SBM-2011/INTETAIN-2011). Abstract
Mayor, O. , Llop J. , & Maestre E. (2011). RepoVizz: A multimodal on-line database and browsing tool for music performance research . 12th International Society for Music Information Retrieval Conference (ISMIR 2011). Abstract
Vinceslas, L. , Garcia F. , Pérez A. , & Maestre E. (2011). Mapping Blowing Pressure and Sound Features in Recorder Playing . DAFX. 357-360. Abstract
Papiotis, P. , Maestre E. , Marchini M. , & Pérez A. (2011). Synchronization of intonation adjustments in violin duets: towards an objective evaluation of musical interaction . Proc. of the 14th Int. Conference on Digital Audio Effects (DAFx-11). 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
2010
Coleman, G. , Maestre E. , & Bonada J. (2010). Augmenting Sound Mosaicing with Descriptor-driven Transformation . Digital Audio Effects. 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. , Maestre E. , & Serra X. (2010). Automatic performer identification in commercial monophonic Jazz performances . Pattern Recognition Letters. 31 (12), 1514-1523.
Maestre, E. , Pérez A. , & Ramirez R. (2010). Gesture sampling for instrumental sound synthesis: violin bowing as a case study . International Computer Music Conference. Abstract
Maestre, E. , Blaauw M. , Bonada J. , Guaus E. , & Pérez A. (2010). Statistical Modeling of Bowing Control applied to Violin Sound Synthesis . IEEE Transactions on Audio, Speech, and Language Processing .
2009
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. , 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
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..
Ramirez, R. , & Maestre E. (2009). A Framework for Performer Identification in Audio Recordings . International Workshop on Machine Learning and Music - ECML-PKDD 09. Abstract
Maestre, E. (2009). Modeling instrumental gestures: an analysis/synthesis framework for violin bowing . Department of Information and Communication Technologies. Abstract
Maestre, E. (2009). Statistical Modeling of Violin Bowing Parameter Contours . International Computer Music Conference. Abstract
Camurri, A. , Volpe G. , Vinet H. , Bresin R. , Maestre E. , Llop J. , et al. (2009). User­-centric context­-aware mobile applications for embodied music listening . International ICST Conference on User Centric Media.
2008
Kersten, S. , Maestre E. , & Ramirez R. (2008). Concatenative Synthesis of Expressive Saxophone Performance . Sound and Music Computing Conference. Abstract
Pérez, A. , Bonada J. , Maestre E. , Guaus E. , & Blaauw M. (2008). Measuring Violin Sound Radiation for Sound Equalization . Acoustics08. Abstract
Pérez, A. , Bonada J. , Maestre E. , Guaus E. , & Blaauw M. (2008). Score Level Timbre Transformations of Violin Sounds . International Conference on Digital Audio Effects. Abstract
Pérez, A. , Maestre E. , Ramirez R. , & Kersten S. (2008). Expressive Irish Fiddle Performance Model Informed with Bowing . International Computer Music Conference. Abstract
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
Ramirez, R. , Pérez A. , Maestre E. , Kersten S. , Rizo D. , Roman P. , et al. (2008). Modeling Celtic Violin Expressive Performance . International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
Ramirez, R. , Pérez A. , Kersten S. , & Maestre E. (2008). Performer Identification in Celtic Violin Recordings . International Conference on Music Information Retrieval. Abstract
Janer, J. , & Maestre E. (2008). Mapping phonetic features for voice-driven sound synthesis . eBusiness and Telecommunication Networks. CCIS Series. Abstract
2007
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
Guaus, E. , Bonada J. , Pérez A. , Maestre E. , & Blaauw M. (2007). Measuring the bow pressing force in a real violin performance . International Symposium on Musical Acoustics. 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
Ramirez, R. , Maestre E. , & Pertusa A. (2007). Identifying saxophonists from their playing styles . 30th AES Conference. Abstract
Kersten, S. , Maestre E. , & Ramirez R. (2007). Modeling and Synthesis of Expressive Performance . Digital Music Research Network Workshop. Abstract
Pérez, A. , Maestre E. , & Ramirez R. (2007). Modeling Expressive Performance in Classical Violin . Digital Music Research Network Workshop. Abstract
Ramirez, R. , Maestre E. , Pertusa A. , Gómez E. , & Serra X. (2007). Performance-based Interpreter Identification in Saxophone Audio Recordings . IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364. Abstract
Janer, J. , & Maestre E. (2007). Phonetic-based mappings in voice-driven sound synthesis . International Conference on Signal Processing and Multimedia Applications. Abstract
Jensenius, A. , Castagné N. , Camurri A. , Maestre E. , Malloch J. , & McGilvray D. (2007). A Summary of Formats for Streaming and Storing Music-Related Movement and Gesture Data . International Conference on Enactive Interfaces. Abstract
Jensenius, A. , Camurri A. , Castagné N. , Maestre E. , Malloch J. , McGilvray D. , et al. (2007). The need of formats for streaming and storing music-related movement and gesture data . Abstract
2006
Ramirez, R. , Hazan A. , Maestre E. , & Serra X. (2006). A Machine Learning Approach to Expressive Performance in Jazz Standards . ( Petrushin, V. A. , Khan, L. , Ed.). Multimedia Data Mining and Knowledge Discovery. Abstract
Ramirez, R. , Gómez E. , Vicente V. , Puiggròs M. , Hazan A. , & Maestre E. (2006). Modeling Expressive Music Performance in Bassoon Audio Recordings . Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
Maestre, E. , Bonada J. , & Mayor O. (2006). Modeling musical articulation gestures in singing voice performances . AES 121th Convention. Abstract
Hazan, A. , Ramirez R. , Maestre E. , Pérez A. , & Pertusa A. (2006). Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming . European Workshop on Evolutionary Music and Art. Abstract
Ramirez, R. , Hazan A. , & Maestre E. (2006). A Sequential Covering Evolutionary Algorithm for Expressive Music Performance . Conference on Innovative Applications of Artificial Intelligence. Abstract
Maestre, E. , Hazan A. , Ramirez R. , & Pérez A. (2006). Using concatenative synthesis for expressive performance in jazz saxophone . International Computer Music Conference. Abstract
Maestre, E. (2006). Coding Instrumental Gestures. Towards a quantitative description of instrumental gestures in excitation-continuous musical instruments . Abstract
2005
Maestre, E. , & Gómez E. (2005). Automatic characterization of dynamics and articulation of expressive monophonic recordings . AES 118th Convention. Abstract
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
Ramirez, R. , Hazan A. , & Maestre E. (2005). Intra-note Features Prediction Model for Jazz Saxophone Performance . International Computer Music Conference. Abstract
2004
Ramirez, R. , Hazan A. , Gómez E. , & Maestre E. (2004). A machine learning approach to expressive performance in jazz standards . ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
Ramirez, R. , Hazan A. , Gómez E. , & Maestre E. (2004). Understanding expressive transformations in saxophone jazz performances using inductive machine learning . Sound and Music Computing Conference. Abstract