Biblio
Filters: Author is E. Maestre [Clear All Filters]
A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2004).
Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(2004).
(2005).
Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2005).
Intra-note Features Prediction Model for Jazz Saxophone Performance.
International Computer Music Conference. Abstract
(2005).
(2006).
A Machine Learning Approach to Expressive Performance in Jazz Standards.
( , Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2006).
Modeling Expressive Music Performance in Bassoon Audio Recordings.
Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
(2006).
Modeling musical articulation gestures in singing voice performances.
AES 121th Convention. Abstract
(2006).
Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming.
European Workshop on Evolutionary Music and Art. Abstract
(2006).
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance.
Conference on Innovative Applications of Artificial Intelligence. Abstract
(2006).
Using concatenative synthesis for expressive performance in jazz saxophone.
International Computer Music Conference. Abstract
(2006).
(2007).
Identifying saxophonists from their playing styles.
30th AES Conference. Abstract
(2007).
Modeling and Synthesis of Expressive Performance.
Digital Music Research Network Workshop. Abstract
(2007).
Modeling Expressive Performance in Classical Violin.
Digital Music Research Network Workshop. Abstract
(2007).
Performance-based Interpreter Identification in Saxophone Audio Recordings.
IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364. Abstract
(2007).
Phonetic-based mappings in voice-driven sound synthesis.
International Conference on Signal Processing and Multimedia Applications. Abstract
(2007).
A Summary of Formats for Streaming and Storing Music-Related Movement and Gesture Data.
International Conference on Enactive Interfaces. Abstract
(2007).
Combining Performance Actions with Spectral Models for Violin Sound Transformation.
International Congress on Acoustics. Abstract
(2007).
Measuring the bow pressing force in a real violin performance.
International Symposium on Musical Acoustics. Abstract
(2007).
Acquisition of violin instrumental gestures using a commercial EMF device.
International Computer Music Conference. Abstract
(2007).
Mapping phonetic features for voice-driven sound synthesis.
eBusiness and Telecommunication Networks. CCIS Series. Abstract
(2008).
Expressive Irish Fiddle Performance Model Informed with Bowing.
International Computer Music Conference. Abstract
(2008).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2008).