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

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Rough-Neural Computing

Part of the book series: Cognitive Technologies ((COGTECH))

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Summary

This chapter aims at revealing in which way and how surround sound interferes or is associated with visual context. Such parameters as distance, angle, or level of sound source were tested with and without a video image on the screen. For that purpose, a subjective testing was applied. Processing of the results obtained was done by employing genetic algorithms and combined neural network and rough set systems. The main task of the experiments was the application of modular neural networks to quantize surround sound parameter values. A rough set algorithm was used to make decisions showing the influence of visual cues on the perception of surround sound.

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Author information

Authors and Affiliations

  1. Sound and Vision Engineering Department, Gdańsk University of Technology, Narutowicza 11/12, 80-952, Gdańsk, Poland

    Bożena Kostek

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  1. Bożena Kostek
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Editors and Affiliations

  1. Indian Statistical Institute, Machine Intelligence Unit, 203 Barrackpore Trunk Road, Calcutta, 700 035, India

    Sankar K. Pal

  2. Department of Mathematics and Computer Science, University of Warmia and Mazury, Zolnierska 14, Olsztyn, Poland

    Lech Polkowski

  3. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

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© 2004 Springer-Verlag Berlin Heidelberg

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Kostek, B. (2004). Rough-Neural Approach to Testing the Influence of Visual Cues on Surround Sound Perception. In: Pal, S.K., Polkowski, L., Skowron, A. (eds) Rough-Neural Computing. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18859-6_22

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  • DOI: https://doi.org/10.1007/978-3-642-18859-6_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62328-8

  • Online ISBN: 978-3-642-18859-6

  • eBook Packages: Springer Book Archive

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