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This bibliographic page is archived and will no longer be updated.
For an up-to-date list of publications from the Music Technology Group see the
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Hazan, A.
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).
Model cortical responses for the detection of perceptual onsets and beat tracking in singing
.
Connection Science. 21
(2-3), 193-205.
Abstract
(2009).
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).
Modeling the Acquisition of Statistical Regularities in Tone Sequences
.
30th Annual Meeting of the Cognitive Science Society.
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
(2008).
Computational Models of Music Perception and Cognition II: Domain-Specific Music Processing
.
Physics of Life Reviews. 5
(3), 169-182.
Abstract
(2008).
The Development of Melodic Representations at Early Age: Towards a Computational Model.
.
Music, Language and the Mind 2008.
Abstract
(2008).
(2008).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone
.
Computer Music Journal. 32,
38-50.
Abstract
(2008).
(2008).
(2007).
Computational Modeling of Statistical Learning of Tone Sequences (Poster)
.
International Conference on Cognitive and Neural Systems (ICCNS 2007).
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
(2007).
Expectation Along The Beat A Use Case For Music Expectation Models
.
International Computer Music Conference.
Abstract
(2007).
What/when causal expectation modelling in monophonic pitched and percussive audio
.
NIPS-Workshop Music, Brain, & Cognition.
Abstract
(2007).
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).
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).
A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies
.
International Journal on Artificial Intelligence Tools. 15,
673-691.
Abstract
(2006).
Using concatenative synthesis for expressive performance in jazz saxophone
.
International Computer Music Conference.
Abstract
(2006).
(2006).
(2006).
An Approach to Expressive Music Performance Modeling
.
118th Audio Engineering Society Convention.
Abstract
(2005).
Billaboop real-time voice-driven drum generator
.
118th Audio Engineering Society Convention.
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
(2005).
Modeling expressive music performance in jazz
.
International Florida Artificial Intelligence Research Society Conference.
Abstract
(2005).
Understanding expressive music performance using genetic algorithms
.
Lecture Notes in Computer Science 3449.
Abstract
(2005).
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).