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Systemic Architecture for Audio Signal Processing

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Advances in Artificial Life (ECAL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2801))

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Abstract

This paper proposes a layered systemic architecture for audio signal processing. The described systems consists of several building blocks connected in different ways and thus enabling different behaviour. Three different systems are proposed constructed with almost the same building blocks fulfilling three different tasks of audio processing: learning to hear, learning to reproduce and learning to associate. The systemic architecture facilitates the connection of all three proposed subsystems to get one big system fulfilling all three proposed tasks of audio signal processing.

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Author information

Authors and Affiliations

  1. Division of Neuroinformatics, Department of Computer Science, University of Bonn, Roemerstr. 164, D-53117, Bonn, Germany

    Rolf Schatten

Authors
  1. Rolf Schatten
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Memorial University of Newfoundland, Canada

    Wolfgang Banzhaf

  2. Department of Computer Science, University of Dortmund, 11, Joseph-von-Fraunhofer-Str. 20, 44227, Dortmund, Germany

    Jens Ziegler

  3. Fraunhofer IAIS, Sankt Augustin

    Thomas Christaller

  4. Bio Systems Analysis Group, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 1–4, D-07743, Jena, Germany

    Peter Dittrich

  5. School of Computing Sciences, University of East Anglia, NR4 7TJ, Norwich, United Kingdom

    Jan T. Kim

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© 2003 Springer-Verlag Berlin Heidelberg

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Schatten, R. (2003). Systemic Architecture for Audio Signal Processing. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_52

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  • DOI: https://doi.org/10.1007/978-3-540-39432-7_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20057-4

  • Online ISBN: 978-3-540-39432-7

  • eBook Packages: Springer Book Archive

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