Abstract

AbstractIn 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.KeywordsSpeech SignalSpeech ProductionSpeech Production RecognitionComputational ParadigmPattern Recognition ApplicationThese 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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