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

Rothschild S. Applying Physical Modeling, Set Theory, and Cellular Automata to Create Computer Synthesized Musical Compositions. In: AES Convention 114. Audio Engineering Society; 2003. Paper 5805. Available from: https://aes.org/publications/elibrary-page/?id=12605

@inproceedings{Rothschild2003_12605,
  author = {Rothschild, Sigmund},
  title = {{Applying Physical Modeling, Set Theory, and Cellular Automata to Create Computer Synthesized Musical Compositions}},
  booktitle = {AES Convention 114},
  note = {Paper 5805},
  year = {2003},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12605}
}

TY  - CPAPER
TI  - Applying Physical Modeling, Set Theory, and Cellular Automata to Create Computer Synthesized Musical Compositions
AU  - Rothschild, Sigmund
T2  - AES Convention 114
M1  - Paper 5805
PY  - 2003
DA  - 2003/03/06
UR  - https://aes.org/publications/elibrary-page/?id=12605
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -