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Modelling speech processing and recognition in the auditory system with a three-stage architecture

  • T. Wesarg
  • B. Brückner
  • C. Schauer
Poster Presentations 2 Neurobiology II: Cortex
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1112)

Abstract

One approach to the construction of an engineered system for hearing and efficient speech recognition is the modeling of the human auditory system. We applied this approach to our speech recognition tasks using a coupled modeling concept (Fig. 1) which should reproduce this system in a plausible way (Brückner et al. [1]). Starting with a model of signal processing by the cochlea (Kates [4]), our coupled modeling concept contains a lateral inhibitory neural network (LIN) system (Shamma [2]) performing filter operations by spatial processing of the speech evoked activity in the auditory nerve, and a structured formal neural network (Brückner et al. [3]) for learning and recognition of the spectral representations of the speech stimuli provided by the LIN.

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References

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    B. Brückner and W. Zander, “Neurobiological modeling and structured neural networks”, Proc. Inter. Conf. Artificial Neural Networks, Amsterdam, Sept. 13–16, 1993, pp. 43–46.Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • T. Wesarg
    • 1
  • B. Brückner
    • 1
  • C. Schauer
    • 1
  1. 1.Informatics, Federal Institute for NeurobiologyMagdeburgGermany

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