Nonlinear Maps as Generators of Musical Design

By Jeff Pressing. 1988

Subfields: Speech & Audio

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Speech & Audio

1. Jose D. Fernández
2. Francisco J. Vico
3. Christine Payne
4. Ilya Sutskever
5. Jong Wook Kim
6. Heewoo Jun
7. Alec Radford
8. Prafulla Dhariwal

Citations in the corpus

• Jukebox: A Generative Model for Music (2020, background): “There exists a variety of earlier approaches using rule-based systems (Moorer, 1972), chaos and self-similarity (Pressing, 1988), cellular automata (Beyls, 1989), concatenative synthesis (Jehan, 2005), and constraint programming (Anders & Mi-randa, 2011).”
• AI Methods in Algorithmic Composition: A Comprehensive Survey (2013, methodology): “…used techniques to generate self-similar musical patterns include chaotic systems such as iterated function systems (Gogins, 1991), nonlinear maps (Pressing, 1988) and non-linear dynamical systems (Herman, 1993), but also fractional Brownian motion (Langston, 1989), cellular automata (discussed…”