Biblio

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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
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
Panteli, M. (2011).  Pitch Patterns of Cypriot Folk Music between Byzantine and Ottoman Influence. 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
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., 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
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
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., Ramirez R., & Kersten S. (2008).  Modeling Moods in Violin Performances. Sound and Music Computing Conference. 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
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