Biblio

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Ramesh, A. (2009).  Singing Voice Nasality Detection in Polyphonic Audio. Abstract
Ramirez, R., & Hazan A. (2004).  Learning Expressive Performance Rules in Jazz.
Ramirez, R., & Hazan A. (2006).  A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies. International Journal on Artificial Intelligence Tools. 15, 673-691. Abstract
Ramirez, R. (2003).  Learning Sets of Musical Rules. Abstract
Ramirez, R., & Puiggròs M. (2006).  Training a Classifier to Detect Instantaneous Musical Cognitive States. International Conference on Music Perception and Cognition. Abstract
Ramirez, R., & Hazan A. (2005).  An Approach to Expressive Music Performance Modeling. 118th Audio Engineering Society Convention. Abstract
Ramirez, R., Pérez A., Kersten S., & Maestre E. (2008).  Performer Identification in Celtic Violin Recordings. International Conference on Music Information Retrieval. Abstract
Ramírez, M., Martinez J., & Santosa A. (2004).  Model checking constraint-based concurrent Java programs. International Workshop on Constructive Methods for Parallel Programming. Abstract
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
Ramirez, R., Hazan A., Gómez E., & Maestre E. (2004).  A machine learning approach to expressive performance in jazz standards. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
Ramirez, R., & Puiggròs M. (2007).  An Evolutionary Computation Approach to Cognitive States Classification. IEEE Congress on Evolutionary Computing. Abstract
Ramirez, R., Maestre E., & Serra X. (2012).  A Rule-Based Evolutionary Approach to Music Performance Modeling. IEEE Transactions on Evolutionary Computation. 16(1), 96 - 107. Abstract
Ramirez, R., Maestre E., Pérez A., & Serra X. (2011).  Automatic Performer Identification in Celtic Violin Audio Recordings. Journal of New Music Research. 40(2), 165-174. Abstract
Ramirez, R. (2004).  Inductive Logic Programming and Music.
Ramirez, R., Maestre E., Pertusa A., Gómez E., & Serra X. (2007).  Performance-based Interpreter Identification in Saxophone Audio Recordings. IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364. Abstract
Ramirez, R., Pérez A., Kersten S., & Rizo D. (2010).  Modeling Violin Performances Using Inductive Logic Programming. Intelligent Data Analysis.
Ramirez, R., Hazan A., & Maestre E. (2005).  Intra-note Features Prediction Model for Jazz Saxophone Performance. International Computer Music Conference. Abstract
Ramírez, M. (2002).  CLAM Visualization Module Disseny d'un mòdul de visualització OO per a un entorn de processament d'àudio independent de plataforma. Abstract
Ramírez, M., Martinez J., & Santosa A. (2004).  Constraint-based synchronization and verification of distributed Java programs. Lecture Notes in Computer Science . 3132, Abstract
Ramirez, R. (2008).  An fMRI Study on Attentive Music Listening. The Neurosciences and Music. Abstract
Ramirez, R., & Hazan A. (2005).  Understanding expressive music performance using genetic algorithms. Lecture Notes in Computer Science 3449. Abstract
Ramirez, R., Maestre E., & Pertusa A. (2007).  Identifying saxophonists from their playing styles. 30th AES Conference. Abstract
Ramirez, R., Maestre E., & Serra X. (2010).  Automatic performer identification in commercial monophonic Jazz performances. Pattern Recognition Letters. 31(12), 1514-1523.
Ramirez, R., Hazan A., Maestre E., & Serra X. (2006).  A Machine Learning Approach to Expressive Performance in Jazz Standards. (Petrushin, V. A., Khan, L., Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
Ramirez, R., Hazan A., Gómez E., Maestre E., & Serra X. (2005).  Discovering Expressive Transformation Rules from Saxophone Jazz Performances. Journal of New Music Research. 34, 319-330. Abstract
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