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ORCID2. ICMAI 2002: Edinburgh, Scotland, UK
- Christina Anagnostopoulou, Miguel Ferrand, Alan Smaill:
Music and Artificial Intelligence, Second International Conference, ICMAI 2002, Edinburgh, Scotland, UK, September 12-14, 2002, Proceedings. Lecture Notes in Computer Science 2445, Springer 2002, ISBN 3-540-44145-X
Invited Talks
- Mira Balaban:
Structure and Interpretation of Music Concepts: Music from a Computational Perspective. 1-3 - Antonio Camurri:
Expressive Gesture. 4
Regular Contributions
- Rens Bod:
A General Parsing Model for Music and Language. 5-17 - Elaine Chew:
The Spiral Array: An Algorithm for Determining Key Boundaries. 18-31 - Darrell Conklin:
Representation and Discovery of Vertical Patterns in Music. 32-42 - Roger B. Dannenberg, Ning Hu:
Discovering Musical Structure in Audio Recordings. 43-57 - Simon Dixon, Werner Goebl
, Gerhard Widmer:
Real Time Tracking and Visualisation of Musical Expression. 58-68 - Perfecto Herrera, Alexandre Yeterian, Fabien Gouyon:
Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques. 69-80 - Tim Horton:
Some Formal Problems with Schenkerian Representations of Tonal Structure. 81-93 - Soh Igarashi, Tomonobu Ozaki, Koichi Furukawa:
Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming. 94-106 - Eduardo Reck Miranda:
Mimetic Development of Intonation. 107-118 - François Pachet:
Interacting with a Musical Learning System: The Continuator. 119-132 - Aggelos Pikrakis, Sergios Theodoridis, Dimitris Kamarotos:
Recognition of Isolated Musical Patterns Using Hidden Markov Models. 133-143 - Dirk-Jan Povel:
A Model for the Perception of Tonal Melodies. 144-154 - Somnuk Phon-Amnuaisuk:
Control Language for Harmonisation Process. 155-167 - Christian Spevak, Belinda Thom, Karin Höthker:
Evaluating Melodic Segmentation. 168-182 - Neta Spiro:
Combining Grammar-Based and Memory-Based Models of Perception of Time Signature and Phase. 183-194 - David Temperley:
A Bayesian Approach to Key-Finding. 195-206
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