Rough-Neural Approach to Testing the Influence of Visual Cues on Surround Sound Perception

Abstract

The paper aims at revealing in which way and how the surround sound interferes or is associated with the visual context. Such parameters as distance, angle or level of sound source were tested with and without video im- age presence in the screen. For that purpose subjective testing was applied. Processing of the obtained results has been done on the basis of the combined neural network and rough sets based algorithm. The main task of experiments was the application of modular neural networks for the purpose of quantization of the surround sound parameter values. The rough set algorithm made deci- sions showing the influence of visual cues on the perception of surround sound.