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Paraconsistent Artificial Neural Network: Applicability in Computer Analysis of Speech Productions

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

Abstract

In this work we sketch how Paraconsistent Artificial Neural Network – PANN – can be useful in speech signals recognition by using phonic traces signals. The PANN is built based on Paraconsistent Annotated Logic E( and it allows us to manipulate uncertain, inconsistent and paracomplete information without trivialization.

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References

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Author information

Authors and Affiliations

  1. Information Technology Dept., ICET – Paulista University, Brazil

    Jair Minoro Abe

  2. Faculty of Philosophy, Letters and Human Sciences, University of São Paulo, Brazil

    João Carlos Almeida Prado

  3. Institute For Advanced Studies, University of São Paulo, Brazil

    Jair Minoro Abe

  4. School of Human Science and Environment/H.S.E., University of Hyogo, Japan

    Kazumi Nakamatsu

Authors
  1. Jair Minoro Abe
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  2. João Carlos Almeida Prado
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  3. Kazumi Nakamatsu
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Abe, J.M., Prado, J.C.A., Nakamatsu, K. (2006). Paraconsistent Artificial Neural Network: Applicability in Computer Analysis of Speech Productions. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_107

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  • DOI: https://doi.org/10.1007/11893004_107

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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