Biblio
] Filters: Author is Hazan, A. [Clear All Filters]
(2008). The Development of Melodic Representations at Early Age: Towards a Computational Model..
Music, Language and the Mind 2008. Abstract
(2005). An Approach to Expressive Music Performance Modeling.
118th Audio Engineering Society Convention. Abstract
(2005). Modeling expressive music performance in jazz.
International Florida Artificial Intelligence Research Society Conference. Abstract
(2004). Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(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
(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
(2008). A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2006). A Sequential Covering Evolutionary Algorithm for Expressive Music Performance.
Conference on Innovative Applications of Artificial Intelligence. Abstract
(2005). Understanding expressive music performance using genetic algorithms.
Lecture Notes in Computer Science 3449. 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). Modeling Expressive Music Performance in Bassoon Audio Recordings.
Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
(2008). Computational Models of Music Perception and Cognition II: Domain-Specific Music Processing.
Physics of Life Reviews. 5(3), 169-182. Abstract
(2008). Computational Models of Music Perception and Cognition I: The Perceptual and Cognitive Processing Chain.
Physics of Life Reviews. 5(3), 151-168. Abstract
(2007). Dynamical Hierarchical Self-Organization of Harmonic, Motivic, and Pitch Categories .
Music, Brain and Cognition. Part 2: Models of Sound and Cognition, held at NIPS). Abstract
(2006). Using concatenative synthesis for expressive performance in jazz saxophone.
International Computer Music Conference. Abstract
(2006). Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming.
European Workshop on Evolutionary Music and Art. Abstract
(2009). What/when causal expectation modelling applied to audio signals.
Connection Science. 21(2-3), 119 – 143. Abstract
(2007). Computational Modeling of Statistical Learning of Tone Sequences (Poster).
International Conference on Cognitive and Neural Systems (ICCNS 2007). Abstract
(2009). What/when causal expectation modelling applied to percussive audio.
The Journal of the Acoustical Society of America, vol. 123, issue 5, p. 3800. Abstract
(2007). What/when causal expectation modelling in monophonic pitched and percussive audio.
NIPS-Workshop Music, Brain, & Cognition. Abstract
