Filters: Author is Hazan, A. [Clear All Filters]
A Machine Learning Approach to Expressive Performance in Jazz Standards. ( , Ed.).Multimedia Data Mining and Knowledge Discovery.(2006).
Modeling Expressive Music Performance in Bassoon Audio Recordings. Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.(2006).
An Approach to Expressive Music Performance Modeling. 118th Audio Engineering Society Convention.(2005).
Attention as musical interplay of bottom-up accents and expectation. GOSPEL Workshop.(2007).
Billaboop real-time voice-driven drum generator. 118th Audio Engineering Society Convention.(2005).
Computational Modeling of Statistical Learning of Tone Sequences (Poster). International Conference on Cognitive and Neural Systems (ICCNS 2007).(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).(2007).
Expectation Along The Beat A Use Case For Music Expectation Models. International Computer Music Conference.(2007).
Intra-note Features Prediction Model for Jazz Saxophone Performance. International Computer Music Conference.(2005).
A machine learning approach to expressive performance in jazz standards. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.(2004).
Modeling expressive music performance in jazz. International Florida Artificial Intelligence Research Society Conference.(2005).
Modeling the Acquisition of Statistical Regularities in Tone Sequences. 30th Annual Meeting of the Cognitive Science Society.(2008).
Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming. European Workshop on Evolutionary Music and Art.(2006).
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance. Conference on Innovative Applications of Artificial Intelligence.(2006).
Understanding expressive music performance using genetic algorithms. Lecture Notes in Computer Science 3449.(2005).
Understanding expressive transformations in saxophone jazz performances using inductive machine learning. Sound and Music Computing Conference.(2004).
Using concatenative synthesis for expressive performance in jazz saxophone. International Computer Music Conference.(2006).