Biblio

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PhD Thesis
Özaslan, T. (2013).  Computational Analysis of Expressivity in Classical Guitar Performances. Department of Information and Communication Technologies. 97. Abstract
application/pdf iconThesis document
Gouyon, F. (2005).  A computational approach to rhythm description --- Audio features for the computation of rhythm periodicity functions and their use in tempo induction and music content processing. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Papiotis, P. (2016).  A computational approach to studying interdependence in string quartet performance. Abstract
application/pdf icontpp.pdf
Gulati, S. (2016).  Computational Approaches for Melodic Description in Indian Art Music Corpora. Department of Information and Communication Technologies. 305. Abstract
application/pdf iconPhD defense slides (70 MB)
Barbosa, A. (2006).  Computer-Supported Cooperative Work for Music Applications. 190. Abstract
application/pdf iconThesis document
Cano, P. (2007).  Content-Based Audio Search from Fingerprinting to Semantic Audio Retrieval. Abstract
application/pdf iconThesis document
Srinivasamurthy, A. (2016).  A Data-driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music. Department of Information and Communication Technologies. 332. Abstract
Coleman, G. (2016).  Descriptor Control of Sound Transformations and Mosaicing Synthesis. (Bonada, J., Xavier Serra, Ed.).Department of Information and Communication Technologies. 193. Abstract
application/pdf iconGraham-Coleman-PhD-thesis-2016.pdf
Jordà, S. (2005).  Digital Lutherie Crafting musical computers for new musics' performance and improvisation. Department of Information and Communication Technologies. Abstract
Pérez, A. (2009).  Enhancing Spectral Synthesis Techniques with Performance Gestures using the Violin as a Case Study. Department of Information and Communication Technologies. 165. Abstract
application/pdf iconThesis document
Salselas, I. (2013).  Exploring interactions between music and language during the early development of music cognition. A computational modelling approach. Department of Information and Communication Technologies. 137. Abstract
application/pdf iconSalselas-Ines-PhD-Thesis-2013.pdf
Umbert, M. (2016).  Expression Control of Singing Voice Synthesis: Modeling Pitch and Dynamics with Unit Selection and Statistical Approaches. (Bonada, J., Xavier Serra, Ed.).Department of Information and Communication Technologies. 177. Abstract
application/pdf iconMartiUmbert_PhDThesis.pdf
Bogdanov, D. (2013).  From music similarity to music recommendation: Computational approaches based on audio features and metadata. Department of Information and Communication Technologies. 227.
application/pdf icondbogdanov_phd_thesis_2013.pdf
Serrà, J. (2011).  Identification of versions of the same musical composition by processing audio descriptions. Department of Information and Communication Technologies. 154. Abstract
application/pdf iconThesis document
Oramas, S. (2017).  Knowledge Extraction and Representation Learning for Music Recommendation and Classification. Department of Information and Communication Technologies. 203. Abstract
Dzhambazov, G. (2017).  Knowledge-based Probabilistic Modeling for Tracking Lyrics in Music Audio Signals. Department of Information and Communication Technologies. Abstract
Salamon, J. (2013).  Melody Extraction from Polyphonic Music Signals. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Herrera, P. (2018).  MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR. Information and Communication Technologies. 241+xiii. Abstract
application/pdf iconSlides used in the defence session
Maestre, E. (2009).  Modeling instrumental gestures: an analysis/synthesis framework for violin bowing. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Streich, S. (2007).  Music Complexity a multi-faceted description of audio content. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Celma, Ò. (2008).  Music Recommendation and Discovery in the Long Tail. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Caro Repetto, R. (2018).  The musical dimension of Chinese traditional theatre: An analysis from computer aided musicology. Departament d'Humanitats. xxiv + 458. Abstract
application/pdf iconSlides for the thesis defense
Hazan, A. (2010).  Musical Expectation Modelling from Audio: a causal mid-level approach to predictive representation and learning of spectro-temporal events.. Departament de Tecnologies de la Informació i les Comunicacions. 119. Abstract
application/pdf iconThesis document
Musevic, S. (2013).  Non-Stationary Sinusoidal Analysis. Department of Information and Communication Technologies. 210. Abstract
application/pdf iconThesis document
Amatriain, X. (2005).  An Object-Oriented Metamodel for Digital Signal Processing with a focus on Audio and Music. Department of Information and Communication Technologies. Abstract
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