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International Conference on Artificial Neural Networks

ICANN 1996: Artificial Neural Networks — ICANN 96 pp 679–684Cite as

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

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Part of the book series: Lecture Notes in Computer Science ((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

  1. 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.

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  2. S. Shamma, “Spatial and Temporal Processing in Central Auditory Networks”, C. Koch and I. Segev (eds.): Methods in Neuronal Modeling, The MIT Press, Cambridge, Massachusetts, pp. 247–289, 1989.

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  3. B. Brückner, T. Wesarg and C. Blumenstein, “Improvements of the modified Hypermap Architecture for Speech Recognition”, Proc. Inter. Conf. Neural Networks, Perth, Australia, Nov.22-Dec.l, 1995, vol. 5, pp. 2891–2895.

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  4. J.M. Kates, “A time-domain digital cochlear model”, IEEE Transactions on Signal Processing, vol. 39, no. 12, pp. 2573–2592, December 1991.

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  5. Teuvo Kohonen, “The hypermap architecture”, In: T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, editors, Artificial Neural Networks, pp. 1357–1360, Helsinki, 1991. Elsevier Science Publishers.

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Authors and Affiliations

  1. Informatics, Federal Institute for Neurobiology, P.O.Box 1860, 39008, Magdeburg, Germany

    T. Wesarg, B. Brückner & C. Schauer

Authors
  1. T. Wesarg
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  2. B. Brückner
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  3. C. Schauer
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Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

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© 1996 Springer-Verlag Berlin Heidelberg

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Wesarg, T., Brückner, B., Schauer, C. (1996). Modelling speech processing and recognition in the auditory system with a three-stage architecture. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_115

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  • DOI: https://doi.org/10.1007/3-540-61510-5_115

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

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