Biblio

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A
Amatriain, X., Bonada J., & Serra X. (1998).  METRIX A Musical Data Definition Language and Data Structure for a Spectral Modeling Based Synthesizer. International Conference on Digital Audio Effects. Abstract
Amatriain, X. (1999).  Metrix A musical description language for a spectral modeling based synthesizer. Abstract
Atlı, H. S., Bozkurt B., & Şentürk S. (2015).  A method for tonic frequency identification of Turkish makam music recordings. 5th International Workshop on Folk Music Analysis (FMA). 119-122. Abstract
application/pdf iconpost-print
B
Bedrani, L. (2019).  Music Therapy with Neurofeedback in Palliative Treatment of Advanced Cancer. Abstract
Bischoff, K., Firan C., Paiu R., Nejdl W., Laurier C., & Sordo M. (2009).  Music Mood and Theme Classification a Hybrid Approach. Conference of the International Society for Music Information Retrieval (ISMIR). Abstract
Blaauw, M., & Bonada J. (2016).  Modeling and Transforming Speech Using Variational Autoencoders. Interspeech. Abstract
application/pdf iconmblaauw_IS2016_VAE.pdf
Bogdanov, D., Porter A., Urbano J., & Schreiber H. (2018).  The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2018 Workshop. Abstract
Bogdanov, D., Porter A., Urbano J., & Schreiber H. (2017).  The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2017 Workshop. Abstract
Bogdanov, D., Won M., Tovstogan P., Porter A., & Serra X. (2019).  The MTG-Jamendo Dataset for Automatic Music Tagging. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). Abstract
Boll, S., Bürger T., Celma Ò., Halaschek-Wiener C., & Mannens E. (2007).  Multimedia Vocabularies on the Semantic Web. W3C. Abstract
Bonada, J. (2009).  Modeling Harmonic Phases at Glottal Closure Instants. International Conference on Digital Audio Effects. Abstract
Bosch, J., Mayor O., & Gómez E. (2015).  Melovizz: A Web-based tool for Score-Informed Melody Extraction Visualization. ISMIR (Late Breaking Demo).
application/pdf iconISMIR LBD Bosch - melovizz melody extraction visualisation.pdf
Bosch, J., & Gómez E. (2016).  Melody extraction based on a source-filter model using pitch contour selection. 13th Sound and Music Computing Conference (SMC 2016). 67-74. Abstract
application/pdf iconSMC-postprint-bosch.pdf
Bosch, J., & Gómez E. (2015).  Melody extraction by means of a source-filter model and pitch contour characterization (MIREX 2015). Music Information Retrieval Evaluation eXchange (MIREX).
application/pdf iconJ. Bosch MIREX 2015 melody extraction submission
Bosch, J., & Gómez E. (2014).  Melody extraction in symphonic classical music: a comparative study of mutual agreement between humans and algorithms. 9th Conference on Interdisciplinary Musicology – CIM14.
application/pdf iconCIM14-Bosch.pdf
Bozkurt, B., Gulati S., Romani O., & Serra X. (2018).  MusicCritic: A technological framework to support online music teaching for large audiences. 33rd World Conference of International Society for Music Education (ISME). 13-20. Abstract
C
Cabrera, J. J. (2009).  MyMoods: Personalized Mood Classification. Abstract
Cano, P., Koppenberger M., Ferradans S., Martinez A., Gouyon F., Sandvold V., et al. (2004).  MTG-DB A Repository for Music Audio Processing. Abstract
Caro Repetto, R., & Serra X. (2016).  Melodic transformation processes in the arrangements of jingju banshi. Fourth International Conference On Analytical Approaches To World Music (AAWM 2016). Abstract
application/pdf iconLong abstract for Caro and Serra presentation at AAWM2016
application/pdf iconSlides for Caro and Serra presentation at AAWM2016
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
Carrascal, J., & Jordà S. (2011).  Multitouch interface for audio mixing. New Interfaces for Musical Expression, NIME.
Celma, Ò. (2006).  Music Recommendation: A multi-faceted approach. Abstract
Celma, Ò. (2001).  Model d'Expressivitat per un Sintetitzador de Veu Cantada. Abstract
Celma, Ò. (2008).  Music Recommendation and Discovery in the Long Tail. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Celma, Ò., Dasiopoulou S., Hausenblas M., Little S., Tsinaraki C., & Troncy R. (2007).  MPEG-7 and the Semantic Web. W3C.
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