Filters: Author is Hazan, A. [Clear All Filters]
The Development of Melodic Representations at Early Age: Towards a Computational Model.. Music, Language and the Mind 2008.(2008).
Modeling expressive music performance in jazz. International Florida Artificial Intelligence Research Society Conference.(2005).
A machine learning approach to expressive performance in jazz standards. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.(2004).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone. Computer Music Journal. 32, 38-50.(2008).
A Machine Learning Approach to Expressive Performance in Jazz Standards. ( , Ed.).Multimedia Data Mining and Knowledge Discovery.(2006).
Understanding expressive music performance using genetic algorithms. Lecture Notes in Computer Science 3449.(2005).
An Approach to Expressive Music Performance Modeling. 118th Audio Engineering Society Convention.(2005).
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance. Conference on Innovative Applications of Artificial Intelligence.(2006).
Modeling Expressive Music Performance in Bassoon Audio Recordings. Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.(2006).
Discovering Expressive Transformation Rules from Saxophone Jazz Performances. Journal of New Music Research. 34, 319-330.(2005).
Intra-note Features Prediction Model for Jazz Saxophone Performance. International Computer Music Conference.(2005).
A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies. International Journal on Artificial Intelligence Tools. 15, 673-691.(2006).
Understanding expressive transformations in saxophone jazz performances using inductive machine learning. Sound and Music Computing Conference.(2004).
Computational Models of Music Perception and Cognition I: The Perceptual and Cognitive Processing Chain. Physics of Life Reviews. 5(3), 151-168.(2008).
Computational Models of Music Perception and Cognition II: Domain-Specific Music Processing. Physics of Life Reviews. 5(3), 169-182.(2008).
Dynamical Hierarchical Self-Organization of Harmonic, Motivic, and Pitch Categories . Music, Brain and Cognition. Part 2: Models of Sound and Cognition, held at NIPS).(2007).
Using concatenative synthesis for expressive performance in jazz saxophone. International Computer Music Conference.(2006).
Musical Expectation Modelling from Audio: a causal mid-level approach to predictive representation and learning of spectro-temporal events.. Music Technology Group, Departament de Tecnologies de la Informació i les Comunicacions. 119.(2010).
What/when causal expectation modelling applied to percussive audio. The Journal of the Acoustical Society of America, vol. 123, issue 5, p. 3800.(2008).
Expectation Along The Beat A Use Case For Music Expectation Models. International Computer Music Conference.(2007).