Biblio

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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
Janer, J., & Maestre E. (2008).  Mapping phonetic features for voice-driven sound synthesis. eBusiness and Telecommunication Networks. CCIS Series. 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., 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.
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Janer, J., & Maestre E. (2007).  Phonetic-based mappings in voice-driven sound synthesis. International Conference on Signal Processing and Multimedia Applications. Abstract
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