Musical Networks: Parallel Distributed Perception and PerformanceNiall Griffith, Peter M. Todd This volume presents the most up-to-date collection of neural network models of music and creativity gathered together in one place. Chapters by leaders in the field cover new connectionist models of pitch perception, tonality, musical streaming, sequential and hierarchical melodic structure, composition, harmonization, rhythmic analysis, sound generation, and creative evolution. The collection combines journal papers on connectionist modeling, cognitive science, and music perception with new papers solicited for this volume. It also contains an extensive bibliography of related work. Contributors |
Contents
Development of Tonal Centres and Abstract Pitch as Categorizations | 23 |
Understanding Musical Sound with Forward Models and Physical | 45 |
Resonance and the Perception of Musical Meter | 65 |
A Critical View | 97 |
A Critical | 111 |
Apparent Motion in Music? | 141 |
Modelling the Perception of Musical Sequences with Selforganizing | 175 |
An Ear for Melody | 199 |
Exploring the Benefits | 227 |
Harmonizing Music the Boltzmann Way | 261 |
Reduced Memory Representations for Music | 279 |
Frankensteinian Methods for Evolutionary Music Composition | 313 |
337 | |
A Dream Come True | 371 |