Music and Artificial Intelligence

This book constitutes the refereed proceedings of the Second International Conference on Music and Artificial Intelligence, ICMAI 2002, held in Edinburgh, Scotland, UK in September 2002.The 16 revised full papers presented together with abstracts of 2 invited talks were carefully reviewed and selected for inclusion in the proceedings. Among the topics addressed are parsing for music and language, patterns in music, musical pattern recognition, visualisation, sound classification, tonal structure representation, musical learning systems, pattern analysis, musical perception, melodic segmentation, and time series analysis.

Inhalt

Invited Talks.- Structure and Interpretation of Music Concepts: Music from a Computational Perspective.- Expressive Gesture.- Regular Contributions.- A General Parsing Model for Music and Language.- The Spiral Array: An Algorithm for Determining Key Boundaries.- Representation and Discovery of Vertical Patterns in Music.- Discovering Musical Structure in Audio Recordings.- Real Time Tracking and Visualisation of Musical Expression.- Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques.- Some Formal Problems with Schenkerian Representations of Tonal Structure.- Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming.- Mimetic Development of Intonation.- Interacting with a Musical Learning System: The Continuator.- Recognition of Isolated Musical Patterns Using Hidden Markov Models.- A Model for the Perception of Tonal Melodies.- Control Language for Harmonisation Process.- Evaluating Melodic Segmentation.- Combining Grammar-Based and Memory-Based Models of Perception of Time Signature and Phase.- A Bayesian Approach to Key-Finding.