Biblio

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Pampalk, E., Hlavac P., & Herrera P. (2004).  Hierarchical organization and visualization of drum sample libraries. 7th International Conference on Digital Audio Effects (DAFx'04). Abstract
Pampalk, E., Herrera P., & Goto M. (2008).  Computational Models of Similarity for Drum Samples . IEEE Transactions on Audio, Speech, and Language Processing . 16(2), 408-423. Abstract
Panteli, M. (2011).  Pitch Patterns of Cypriot Folk Music between Byzantine and Ottoman Influence. Abstract
Papiotis, P., & Papaioannou G. (2010).  Kettle: A Real-time model for Orchestral Timpani. Sound and Music Computing. 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., & 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., Perez A., & Maestre E. (2014).  Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data. Frontiers in Psychology. 5, Abstract
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., 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. (2016).  A computational approach to studying interdependence in string quartet performance. Abstract
Papiotis, P. (2010).  Real-time Accompaniment Using Lyrics-Matching Query-by-Humming (QBH). 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
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
Parekh, S., Font F., & Serra X. (2016).  Improving Audio Retrieval through Loudness Profile Categorization. 2016 IEEE International Symposium on Multimedia. 565-568. Abstract
application/pdf iconpostprint version
Parekh, S. (2015).  Improving Audio Retrieval through Content and Metadata Categorization. Abstract
application/pdf iconSanjeel-Parekh-Master-thesis-2015.pdf
Parera, J. (2016).  DJ Codo Nudo: a novel method for seamless transition between songs for electronic music. Abstract
application/pdf iconJaume-Parera-Master-thesis-2016.pdf
Park, J., Celma Ò., Koppenberger M., Cano P., & Buldú J. M. (2007).  The social network of contemporary popular musicians. International Journal of Bifurcation and Chaos (IJBC). 17, 2281 - 2288. Abstract
Parra, H. (2013).  Study of reverberation robust pitch estimators for the singing voice. Abstract
Parra-Damborenea, J. (2014).  Reactblocks: A 3D Tangible Interface for Music Learning. Abstract
application/pdf iconJaime-Parra-Master-Thesis-2014.pdf
Patlatzoglou, K. (2016).  Neural and Music Correlates of Music-evoked Emotions. Abstract
Pauwels, J., O’Hanlon K., Gómez E., & Sandler M. B. (2019).  20 Years of automatic chord recognition from audio. International Society for Music Information Retrieval (ISMIR). Abstract
Peeters, G., McAdams S., & Herrera P. (2000).  Instrument Description in the Context of MPEG-7. Abstract
Pérez, A., & Bonada J. (2009).  Modeling the influence of performance controls on Violin Timbre. Music and Machine Learning workshop at the European Conference on Machine Learning. Abstract
Pérez, A., Ramirez R., & Kersten S. (2008).  Modeling Moods in Violin Performances. Sound and Music Computing Conference. Abstract
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