Biblio

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2004
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., Hazan A., Gómez E., & Maestre E. (2004).  Understanding expressive transformations in saxophone jazz performances using inductive machine learning. Sound and Music Computing Conference. Abstract
2005
Maestre, E., & Gómez E. (2005).  Automatic characterization of dynamics and articulation of expressive monophonic recordings. AES 118th Convention. 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
Ramirez, R., Hazan A., & Maestre E. (2005).  Intra-note Features Prediction Model for Jazz Saxophone Performance. International Computer Music Conference. Abstract
2006
Maestre, E. (2006).  Coding Instrumental Gestures. Towards a quantitative description of instrumental gestures in excitation-continuous musical instruments. Abstract
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., 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.
Maestre, E., Bonada J., & Mayor O. (2006).  Modeling musical articulation gestures in singing voice performances. AES 121th Convention. 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
Ramirez, R., Hazan A., & Maestre E. (2006).  A Sequential Covering Evolutionary Algorithm for Expressive Music Performance. Conference on Innovative Applications of Artificial Intelligence. Abstract
Maestre, E., Hazan A., Ramirez R., & Pérez A. (2006).  Using concatenative synthesis for expressive performance in jazz saxophone. International Computer Music Conference. Abstract
2007
Jensenius, A., Camurri A., Castagné N., Maestre E., Malloch J., McGilvray D., et al. (2007).  The need of formats for streaming and storing music-related movement and gesture data. Abstract
Ramirez, R., Maestre E., & Pertusa A. (2007).  Identifying saxophonists from their playing styles. 30th AES Conference. Abstract
Kersten, S., Maestre E., & Ramirez R. (2007).  Modeling and Synthesis of Expressive Performance. Digital Music Research Network Workshop. Abstract
Pérez, A., Maestre E., & Ramirez R. (2007).  Modeling Expressive Performance in Classical Violin. Digital Music Research Network Workshop. Abstract
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
Janer, J., & Maestre E. (2007).  Phonetic-based mappings in voice-driven sound synthesis. International Conference on Signal Processing and Multimedia Applications. Abstract
Jensenius, A., Castagné N., Camurri A., Maestre E., Malloch J., & McGilvray D. (2007).  A Summary of Formats for Streaming and Storing Music-Related Movement and Gesture Data. International Conference on Enactive Interfaces. Abstract
Pérez, A., Bonada J., Maestre E., Guaus E., & Blaauw M. (2007).  Combining Performance Actions with Spectral Models for Violin Sound Transformation. International Congress on Acoustics. Abstract
Guaus, E., Bonada J., Pérez A., Maestre E., & Blaauw M. (2007).  Measuring the bow pressing force in a real violin performance. International Symposium on Musical Acoustics. Abstract
Maestre, E., Bonada J., Blaauw M., Pérez A., & Guaus E. (2007).  Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference. Abstract
2008
Janer, J., & Maestre E. (2008).  Mapping phonetic features for voice-driven sound synthesis. eBusiness and Telecommunication Networks. CCIS Series. Abstract
Pérez, A., Maestre E., Ramirez R., & Kersten S. (2008).  Expressive Irish Fiddle Performance Model Informed with Bowing. International Computer Music Conference. Abstract
Ramirez, R., Hazan A., Maestre E., & Serra X. (2008).  A Genetic Rule-based Expressive Performance Model for Jazz Saxophone. Computer Music Journal. 32, 38-50. Abstract
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