Biblio

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PhD Thesis
Fuhrmann, F. (2012).  Automatic musical instrument recognition from polyphonic music audio signals. Abstract
application/pdf iconThesis document
Şentürk, S. (2016).  Computational Analysis of Audio Recordings and Music Scores for the Description and Discovery of Ottoman-Turkish Makam Music. Department of Information and Communication Technologies. 357. Abstract
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Özaslan, T. (2013).  Computational Analysis of Expressivity in Classical Guitar Performances. Department of Information and Communication Technologies. 97. Abstract
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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
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Papiotis, P. (2016).  A computational approach to studying interdependence in string quartet performance. Abstract
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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
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Cano, P. (2007).  Content-Based Audio Search from Fingerprinting to Semantic Audio Retrieval. Abstract
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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
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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.
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Serrà, J. (2011).  Identification of versions of the same musical composition by processing audio descriptions. Department of Information and Communication Technologies. 154. Abstract
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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
Maestre, E. (2009).  Modeling instrumental gestures: an analysis/synthesis framework for violin bowing. Department of Information and Communication Technologies. Abstract
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Streich, S. (2007).  Music Complexity a multi-faceted description of audio content. Department of Information and Communication Technologies. Abstract
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Celma, Ò. (2008).  Music Recommendation and Discovery in the Long Tail. Department of Information and Communication Technologies. Abstract
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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
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