Biblio

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Celma, Ò. (2001).  Model d'Expressivitat per un Sintetitzador de Veu Cantada. Abstract
Porcaro, L., & Gómez E. (2019).  A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions. 1st Workshop on the Impact of Recommender Systems (ImpactRS), at the 13th ACM Conference on Recommender Systems (RecSys 2019). Abstract
Serrà, J., Kantz H., & Andrzejak R. G. (2010).  Model-based cover song detection via threshold autoregressive forecasts. ACM Multimedia, Int. Workshop on Machine Learning and Music (MML). 13-16. Abstract
application/pdf iconmml0823-serra.pdf
Kersten, S., Maestre E., & Ramirez R. (2007).  Modeling and Synthesis of Expressive Performance. Digital Music Research Network Workshop. Abstract
Blaauw, M., & Bonada J. (2016).  Modeling and Transforming Speech Using Variational Autoencoders. Interspeech. Abstract
application/pdf iconmblaauw_IS2016_VAE.pdf
Ramirez, R., Pérez A., Maestre E., Kersten S., Rizo D., Roman P., et al. (2008).  Modeling Celtic Violin Expressive Performance. International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
Giraldo, S. (2012).  Modeling Embellishment, Duration and Energy Expressive Transformations in Jazz Guitar. Abstract
application/pdf iconSergio_Giraldo_Master_Thesis_2012.pdf
Giraldo, S., & Ramirez R. (2012).  Modeling Embellishment, Timing and Energy Expressive Transformations in Jazz Guitar. 5th Internationa Workshop on Machine Learning and Music, Edinburgh, Scotland, UK, 2012. Copyright 2012 by the author(s)/owners..
application/pdf iconMML12_Giraldo_Ramirez.pdf
Ramirez, R., Gómez E., Vicente V., Puiggròs M., Hazan A., & Maestre E. (2006).  Modeling Expressive Music Performance in Bassoon Audio Recordings. Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
Ramirez, R., & Hazan A. (2005).  Modeling expressive music performance in jazz. International Florida Artificial Intelligence Research Society Conference. Abstract
Pérez, A., Maestre E., & Ramirez R. (2007).  Modeling Expressive Performance in Classical Violin. Digital Music Research Network Workshop. Abstract
Bonada, J. (2009).  Modeling Harmonic Phases at Glottal Closure Instants. International Conference on Digital Audio Effects. Abstract
Maestre, E. (2009).  Modeling instrumental gestures: an analysis/synthesis framework for violin bowing. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Porcaro, L. (2015).  Modeling Lemur vocalizations from a signal processing perspective. Abstract
application/pdf iconPorcaro-Lorenzo-Master-Thesis-2015.pdf
Pérez, A., Ramirez R., & Kersten S. (2008).  Modeling Moods in Violin Performances. Sound and Music Computing Conference. Abstract
Maestre, E., Bonada J., & Mayor O. (2006).  Modeling musical articulation gestures in singing voice performances. AES 121th Convention. Abstract
Vinceslas, L. (2010).  Modeling of Gesture-Sound Relationships in Recorder Playing: A Study of Blowing Pressure. Abstract
Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015. Abstract
application/pdf iconpostprint version
Hazan, A., Holonowicz P., Salselas I., Herrera P., Purwins H., Knast A., et al. (2008).  Modeling the Acquisition of Statistical Regularities in Tone Sequences. 30th Annual Meeting of the Cognitive Science Society. 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
Ramirez, R., Pérez A., Kersten S., & Rizo D. (2010).  Modeling Violin Performances Using Inductive Logic Programming. Intelligent Data Analysis.
Marxer, R., & Janer J. (2013).  Modelling and Separation of Singing Voice Breathiness in Polyphonic Mixtures. International Conference on Digital Audio Effects Conference (DAFx-13). Abstract
Hazan, A., Ramirez R., Maestre E., Pérez A., & Pertusa A. (2006).  Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming. European Workshop on Evolutionary Music and Art. Abstract
Hazan, A., & Ramirez R. (2006).  Modelling expressive performance using consistent evolutionary regression trees. Abstract
Martorell, A. (2013).  Modelling tonal context dynamics by temporal multi-scale analysis. Department of Information and Communication Technologies. 153. Abstract
application/pdf iconMartorell (2013) - Modelling tonal context dynamics by temporal multi-scale analysis.pdf
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