Gelisp: A Library to Represent Musical CSPs and Search Strategies
This work addresses the need for intuitive tools in computational music composition, though it appears incremental as it builds on existing CSP frameworks.
The authors tackled the problem of representing musical Constraint Satisfaction Problems and search strategies by developing Gelisp, a library with command-line and graphical interfaces, which they used to solve an automatic music generation problem and find solutions for the All-interval series.
In this paper we present Gelisp, a new library to represent musical Constraint Satisfaction Problems and search strategies intuitively. Gelisp has two interfaces, a command-line one for Common Lisp and a graphical one for OpenMusic. Using Gelisp, we solved a problem of automatic music generation proposed by composer Michael Jarrell and we found solutions for the All-interval series.