Biblio
] Filters: Author is E. Maestre [Clear All Filters]
(2011). Mapping Blowing Pressure and Sound Features in Recorder Playing.
DAFX. 357-360. Abstract
(2004). Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(2006). A Sequential Covering Evolutionary Algorithm for Expressive Music Performance.
Conference on Innovative Applications of Artificial Intelligence. Abstract
(2012). A Rule-Based Evolutionary Approach to Music Performance Modeling.
IEEE Transactions on Evolutionary Computation. 16(1), 96 - 107. Abstract
(2008). Modeling Celtic Violin Expressive Performance.
International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
(2010). Automatic performer identification in commercial monophonic Jazz performances.
Pattern Recognition Letters. 31(12), 1514-1523.
(2009). A Framework for Performer Identification in Audio Recordings.
International Workshop on Machine Learning and Music - ECML-PKDD 09. Abstract
(2004). A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2006). A Machine Learning Approach to Expressive Performance in Jazz Standards.
(, Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2005). Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2008). A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2007). Identifying saxophonists from their playing styles.
30th AES Conference. Abstract
(2008). Performer Identification in Celtic Violin Recordings.
International Conference on Music Information Retrieval. Abstract
(2011). Automatic Performer Identification in Celtic Violin Audio Recordings.
Journal of New Music Research. 40(2), 165-174. Abstract
(2007). Performance-based Interpreter Identification in Saxophone Audio Recordings.
IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364. Abstract
(2006). Modeling Expressive Music Performance in Bassoon Audio Recordings.
Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
(2005). Intra-note Features Prediction Model for Jazz Saxophone Performance.
International Computer Music Conference. Abstract
(2007). Combining Performance Actions with Spectral Models for Violin Sound Transformation.
International Congress on Acoustics. Abstract
(2008). Expressive Irish Fiddle Performance Model Informed with Bowing.
International Computer Music Conference. Abstract
(2008). Score Level Timbre Transformations of Violin Sounds.
International Conference on Digital Audio Effects. Abstract
(2008). Measuring Violin Sound Radiation for Sound Equalization .
Acoustics08. Abstract
(2007). Modeling Expressive Performance in Classical Violin.
Digital Music Research Network Workshop. Abstract
(2012). Computational analysis of solo versus ensemble performance in string quartets: Dynamics and Intonation.
12th International Conference on Music Perception and Cognition. Abstract
(2011). Synchronization of intonation adjustments in violin duets: towards an objective evaluation of musical interaction.
Proc. of the 14th Int. Conference on Digital Audio Effects (DAFx-11). Abstract
(2014). Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data.
Frontiers in Psychology. 5, Abstract
