Digital musicians often work with numerous sound synthesizers, each with scores of complex parameters. We have designed and implemented a neural network based intelligent system which facilitates the assignment of values to these parameters. The user utilizes a classification system to quantify his or her subjective opinion towards sound programs, which aids in the discovery of those preferred. In addition to being designed for hardware independence, our system has been tested and shown to be effective at simplifying synthesizer programming.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Briggs, Travis W.
• Mill, Eric Rogers

Publisher

• Worcester Polytechnic Institute

Identifier

• 05D264M

Advisor

• Ciaraldi, Michael J.

Year

• 2005

Date created

• 2005-01-01

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright