Biblio
Filters: Author is Hazan, A. [Clear All Filters]
What/when causal expectation modelling in monophonic pitched and percussive audio.
NIPS-Workshop Music, Brain, & Cognition. Abstract
(2007).
What/when causal expectation modelling applied to audio signals.
Connection Science. 21(2-3), 119 – 143. 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
(2009).
Using concatenative synthesis for expressive performance in jazz saxophone.
International Computer Music Conference. Abstract
(2006).
Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(2004).
Understanding expressive music performance using genetic algorithms.
Lecture Notes in Computer Science 3449. Abstract
(2005).
A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies.
International Journal on Artificial Intelligence Tools. 15, 673-691. Abstract
(2006).
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance.
Conference on Innovative Applications of Artificial Intelligence. Abstract
(2006).
(2008).
Musical Expectation Modelling from Audio: a causal mid-level approach to predictive representation and learning of spectro-temporal events..
Departament de Tecnologies de la Informació i les Comunicacions. 119. Abstract
(2010).
Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming.
European Workshop on Evolutionary Music and Art. Abstract
(2006).
Modeling the Acquisition of Statistical Regularities in Tone Sequences.
30th Annual Meeting of the Cognitive Science Society. Abstract
(2008).
Modeling expressive music performance in jazz.
International Florida Artificial Intelligence Research Society Conference. Abstract
(2005).
Modeling Expressive Music Performance in Bassoon Audio Recordings.
Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
(2006).
Model cortical responses for the detection of perceptual onsets and beat tracking in singing.
Connection Science. 21(2-3), 193-205. Abstract
(2009).
A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2004).
A Machine Learning Approach to Expressive Performance in Jazz Standards.
( , Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2006).
Intra-note Features Prediction Model for Jazz Saxophone Performance.
International Computer Music Conference. Abstract
(2005).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2008).
Expectation Along The Beat A Use Case For Music Expectation Models.
International Computer Music Conference. Abstract
(2007).