Biblio
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Data augmentation for instrument classification robust to audio effects.
22nd International Conference on Digital Audio Effects (DAFx-19). Abstract
(2019).
Identifying saxophonists from their playing styles.
30th AES Conference. Abstract
(2007).
Automatic performer identification in commercial monophonic Jazz performances.
Pattern Recognition Letters. 31(12), 1514-1523.
(2010).
A Machine Learning Approach to Expressive Performance in Jazz Standards.
( , Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2006).
Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2005).
A Framework for Performer Identification in Audio Recordings.
International Workshop on Machine Learning and Music - ECML-PKDD 09. Abstract
(2009).
Modeling Expressive Music Performance in Bassoon Audio Recordings.
Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
(2006).
Modeling expressive music performance in jazz.
International Florida Artificial Intelligence Research Society Conference. Abstract
(2005).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2008).
Automatic Performer Identification in Celtic Violin Audio Recordings.
Journal of New Music Research. 40(2), 165-174. Abstract
(2011).
Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(2004).
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance.
Conference on Innovative Applications of Artificial Intelligence. Abstract
(2006).
A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies.
International Journal on Artificial Intelligence Tools. 15, 673-691. Abstract
(2006).
(2003).
Training a Classifier to Detect Instantaneous Musical Cognitive States.
International Conference on Music Perception and Cognition. Abstract
(2006).
An Approach to Expressive Music Performance Modeling.
118th Audio Engineering Society Convention. Abstract
(2005).
Performer Identification in Celtic Violin Recordings.
International Conference on Music Information Retrieval. Abstract
(2008).
Model checking constraint-based concurrent Java programs.
International Workshop on Constructive Methods for Parallel Programming. Abstract
(2004).
Modeling Celtic Violin Expressive Performance.
International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
(2008).
A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2004).
An Evolutionary Computation Approach to Cognitive States Classification.
IEEE Congress on Evolutionary Computing. Abstract
(2007).