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Applying Physical Modeling, Set Theory, and Cellular Automata to Create Computer Synthesized Musical Compositions

Spectral analysis of a physically modeled audio sample can be related by harmonic spectrum to pitch intervals. Pitch class sets, derived from pitch intervals, may be selected that have a significant interval class vector relationship to the harmonic spectrum which a physically modeled sound displays. A software based granular synthesizer using cellular automata computer modeling techniques has been used to evolve selected pitch class sets over time. Macro-architectural musical structures are created by combining multiple pitch class set evolutions. Audio and video examples of pitch class sets being evolved by cellular automata will be presented. This paper focuses on the application, integration and implications of these processes, as the mathematical procedures are well documented in other sources.

Author: Rothschild, Sigmund
Affiliation: University of Colorado at Denver, Denver, CO
AES Convention:114 (March 2003) Paper Number:5805 Import into BibTeX
Subject:Analysis and Synthesis of Sound

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