Paraconsistent artificial neural network: applicability in computer analysis of speech productions

Authors:
Jair Minoro Abe;João Carlos Almeida Prado;Kazumi Nakamatsu
Affiliations:
Information Technology Dept., ICET – Paulista University, Brazil;Faculty of Philosophy, Letters and Human Sciences, University of São Paulo, Brazil;School of Human Science and Environment/H.S.E., University of Hyogo, Japan
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

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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.