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Rough-Neural Computing pp 521–541Cite as

Intelligent Acquisition of Audio Signals, Employing Neural Networks and Rough Set Algorithms

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

Summary

The algorithms stemming from the rough-neural computing approach were applied to digital acquisition of audio signals with regard to automatic localization of sound sources in the presence of noise and a parasite echo. The application of neural networks to the automatic detection of the sound arrival direction was tested first; then, it was followed by some experiments employing rough sets, and finally the rough-neural approach to this problem solving was examined. The output of each algorithm tested was supposed to provide information about the direction of arriving sound. In the rough-neural algorithm, the result of its action can also be available in the form of words defining the direction of arriving sound. Some details of the engineered systems and results of their experimental verification are compared and discussed.

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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

    Andrzej Czyżewski

Authors
  1. Andrzej Czyżewski
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Editor information

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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Czyżewski, A. (2004). Intelligent Acquisition of Audio Signals, Employing Neural Networks and Rough Set Algorithms. 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_20

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  • DOI: https://doi.org/10.1007/978-3-642-18859-6_20

  • 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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