Abstract
This master’s thesis explores alternative methods of sound creation for animated robotcharacters, with a primary focus on the use of Arduino-based animatronics to create
realistic, motion-synchronized sounds. The sounds are analyzed both technically and
semantically to assess their suitability for creating a believable, character-appropriate
acoustic experience.
A central goal of this work is to examine the extent to which various sound design
approaches are suitable for paraverbal communication, personality building and the
acoustic representation of robotic movements in animated 3D environments. For this
purpose, traditional sound design methods are compared with modern sound generation
techniques. Additionally, the software SoundParticles is used to position sounds in threedimensional space, enhancing the immersive quality of the soundscape.
The analytical part includes a detailed investigation of sound sources, recording
setups, and mixing methods, as well as a comparative analysis of traditional and generative sound design techniques for an animated robot character. The findings of this
thesis provide insights into sound generation methods and workflows that enable the
creation of unique sound effects, which highlight each robot character’s personality and
harmonize with their movements.
| Date of Award | 2024 |
|---|---|
| Original language | German (Austria) |
| Supervisor | Roland Keil (Supervisor) |