Loudspeaker Filter Design with AI

Loudspeaker Filter Design with AI: Communication, Evaluation and User Interaction

Nijenhuis, Jonathan (TU Delft Electrical Engineering, Mathematics and Computer Science)
Zunderman, Timo (TU Delft Electrical Engineering, Mathematics and Computer Science)

Janssen, G.J.M. (mentor)
Wong, J.S.S.M. (graduation committee)
Bishnoi, R.K. (graduation committee)

Delft University of Technology

Electrical Engineering

Bachelor Graduation Project

2023-06-27

This thesis describes the design and implementation of a controller and GUI for an AI loudspeaker filter design program. This program uses a genetic algorithm to create a combination of analog passive filters, one for each driver in a loudspeaker system. In the controller, two cost functions are designed to evaluate these filter combinations, and when the genetic algorithm has created its final filters, unnecessary components are removed and all component values are optimized. A GUI is created to allow easy user interaction.
For selecting a cost function, not enough data was obtained to make a deliberate decision based on performance. Therefore, this decision was based on theory and subordinate features. Nonetheless, the final program is able to create flat acoustic responses in a margin of 2 dB.

Artifical Intelligence
Genetic Algorithm - GA
Cost function
Analog Filters
Controller
GUI
Loudspeaker

http://resolver.tudelft.nl/uuid:d2f7e25c-527c-45ee-950a-fb13ec952d60

Student theses

bachelor thesis

© 2023 Jonathan Nijenhuis, Timo Zunderman