Research in Electronic Music at UCSC
Master Index


Current electronic music research at UCSC is primarily in the field of algorithmic composition.

David Cope: Experiments in Musical Intelligence

This work is described in David's book "Computers and Musical Style" (1991 AR Editions inc). The primary focus is to develop computer analysis techniques that can extract stylistic "signatures" from a body of work. This information is then used to generate new works which follow the style of the original composer. Here is an example (MOV, 15K): Here's another (MOV, 13K).

You can find out more about EMI on David Cope's Home Page

Peter Elsea: Lobject Extensions to the Max Interactive Programming Environment

Max is a very popular system for creating interactive performance and algorithmic composition programs. The "Lobject" extensions provide added high level functionality to the program.

Catalog of the Lobjects.


Peter Elsea: Musical Applications of Fuzzy Logic

Fuzzy logic is not a vague logic system, but a system of logic for dealing with vague concepts. Fuzzy logic has application to music composition because most of the rules and traditions are only loosely specified. This work is unpublished, but here is an extensive introduction to the field.

Read Fuzzy Logic and Musical Decisions online.

Download a copy in PDF format with Max examples.

These were first produced in 1995. Some of my more recent work, with a more formal mathematics approach is contained in Musical Applications of Fuzzy Logic.

Fuzzy Primer is a brief introduction to Fuzzy Logic. It includes a lisp implementation of essential fuzzy operations.

About Peter Elsea.