Biblio

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Unpublished
Marxer, R., & Purwins H. (2008).  An F-Measure for Evaluation of Unsupervised Clustering with Non-Determined Number of Clusters. Abstract
Mostafavi, A., Laurier C., Herrera P., & Ras Z. W. (2011).  Tailored tagger: A personalized, adaptive music tagging system. Abstract
application/pdf iconMostafavi-ismir-2011.pdf
Report
Mealla, S., Väljamäe A., & Jordà S. (2011).  Implicit Interaction in Collaborative Music Performances. FutureBNCI. 1.
application/pdf iconFutureBNCI-RAVE11-submission.pdf
Gómez, E. (2011).  Integrating Different Knowledge Sources for the Computational Modeling of Flamenco Music. (Müller, M., Goto, M., Dixon, S., Ed.).Multimodal Music Processing (Dagstuhl Seminar 11041) - Dagstuhl Reports. 1(1), 82-83. Abstract
Boll, S., Bürger T., Celma Ò., Halaschek-Wiener C., & Mannens E. (2007).  Multimedia Vocabularies on the Semantic Web. W3C. Abstract
Mayor, O., Loscos A., & Bonada J. (2004).  Real-Time Spectral Synthesis For Wind Instruments. Abstract
Marxer, R. (2011).  Signal decomposition by a joint pitch, timbre and wideband model.
application/pdf iconsignal_decomposition.pdf
PhD Thesis
Marchini, M. (2014).  Analysis of Ensemble Expressive Performance in String Quartets: a Statistical and Machine Learning Approach. Department of Information and Communication Technologies. Abstract
Marxer, R. (2013).  Audio Source Separation for Music in Low-latency and High-latency Scenarios. Department of Information and Communication Technologies. Abstract
Papiotis, P. (2016).  A computational approach to studying interdependence in string quartet performance. Abstract
Maestre, E. (2009).  Modeling instrumental gestures: an analysis/synthesis framework for violin bowing. Department of Information and Communication Technologies. Abstract
Martorell, A. (2013).  Modelling tonal context dynamics by temporal multi-scale analysis. Department of Information and Communication Technologies. 153. Abstract
Musevic, S. (2013).  Non-Stationary Sinusoidal Analysis. Department of Information and Communication Technologies. 210. Abstract
Miron, M. (2018).  Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies. Department of Information and Communication Technologies. 299. Abstract
Miscellaneous
Müller, M., & Serrà J. (2011).  Audio content-based music retrieval. Int. Soc. for Music Information Retrieval Conf. (ISMIR). Abstract
application/pdf icon2011_MuellerSerra_TutorialProposal-AudioRetrieval_ISMIR.pdf
Amatriain, X., Massaguer J., Garcia D., & Mosquera I. (2005).  The CLAM Annotator A Cross-platform Audio Descriptors Editing Tool. Abstract
Wack, N., Cano P., De Jong, B, & Marxer R. (2006).  A Comparative Study of Dimensionality Reduction Methods: The Case of Music Similarity. Abstract
application/pdf iconNWack_2006.pdf
Miron, M., & Slizovskaia O. (2017).  Convolutional neural networks for audio processing: starting pack. Pydata Barcelona.
Mealla, S., Väljamäe A., Bosi M., & Jordà S. (2011).  Let Me Listen to Your Brain: Physiology-based Interaction in Collaborative Music Composition. Brain and Body Interfaces Workshop. ACM CHI Conference on Human Factors in Computing Systems. Abstract
application/pdf iconCHI2011_mealla.pdf
Wack, N., Laurier C., Meyers O., Marxer R., Bogdanov D., Serrà J., et al. (2010).  Music classification using high-level models. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
application/pdf iconWLB1.pdf
Wack, N., Guaus E., Laurier C., Meyers O., Marxer R., Bogdanov D., et al. (2009).  Music type groupers (MTG): generic music classification algorithms. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Master Thesis
Martín, D. (2009).  Automatic accompaniment for improvised music. Abstract
Meseguer, G. (2013).  Automatic content-based detection of influences in the history of Progressive Rock Music. Abstract
application/pdf iconGabriel-Meseguer-Master-Thesis-2013.pdf
Miron, M. (2011).  Automatic Detection of Hindustani Talas. Abstract
Molina, E. (2012).  Automatic scoring of singing voice based on melodic similarity measures. Abstract
application/pdf iconEmilio-Molina-Master-Thesis-2012.pdf
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