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Neuro-fuzzy Filtering Techniques for the Analysis of Complex Acoustic Scenarios

  • Rinaldo Poluzzzi
  • Alberto Savi
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 18)

Abstract

A neuro-fuzzy based filter for acoustic filtering is described. In order to perform temporal filtering, a proper architecture was developed exploiting a buffer memory. Subband analysis was used. This led to an architecture composed of a QMF filter bank, a neuro-fuzzy network for each subband and a reconstruction QMF filter bank Many simulation results are described relative to signals captured from real acoustic scenarios.

Keywords

Filter Bank Flicker Noise Pink Noise Random Search Algorithm Auditory Scene Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Rinaldo Poluzzzi
    • 1
  • Alberto Savi
    • 1
  1. 1.ST MICROELECTRONICSAgrate Brianza, MilanoItaly

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