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

  • Jair Minoro Abe
  • João Carlos Almeida Prado
  • Kazumi Nakamatsu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)


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.


Speech Signal Speech Production Speech Production Recognition Computational Paradigm Pattern Recognition Application 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jair Minoro Abe
    • 1
    • 3
  • João Carlos Almeida Prado
    • 2
  • Kazumi Nakamatsu
    • 4
  1. 1.Information Technology Dept.ICET – Paulista UniversityBrazil
  2. 2.Faculty of Philosophy, Letters and Human SciencesUniversity of São PauloBrazil
  3. 3.Institute For Advanced StudiesUniversity of São PauloBrazil
  4. 4.School of Human Science and Environment/H.S.E.University of HyogoJapan

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