Biblio

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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
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
application/pdf iconSBM2011_cameraready.pdf
Papiotis, P., & Purwins H. (2010).   A Lyrics-Matching QBH System for Interactive Environments. Sound and Music Computing Conference. Abstract
application/pdf iconPapiotis_Purwins_QBH_SMC2010.pdf
Papiotis, P., Marchini M., & Maestre E. (2013).  Multidimensional analysis of interdependence in a string quartet. International Symposium on Performance Science. Abstract
application/pdf iconISPS_PapiotisEtAl_final.pdf
Papiotis, P., & Papaioannou G. (2010).  Kettle: A Real-time model for Orchestral Timpani. Sound and Music Computing. Abstract
Papiotis, P. (2010).  Real-time Accompaniment Using Lyrics-Matching Query-by-Humming (QBH). 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., 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
Papiotis, P., & Purwins H. (2010).  Real-time Accompaniment using lyrics-matching QBH. 7th International Symposium on Computer Music Modeling and Retrieval (CMMR). 279-280. Abstract
application/pdf iconPapiotis_CMMR2010_QBHDemo.pdf
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
M
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
application/pdf iconrepoVizz_acmm13.pdf
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., & 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
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.
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.
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
intranet