BDBComp
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SBC
Sistema para Representação Computacional da Compreensão da Fala

Daniel Nehme MüllerPhillippe Navaux

This paper proposes a computational model to speech comprehension based on neurocognitive researches. The computational representation uses several techniques as wavelets transform and connectionists models. The speech signal codification and data prosodic extraction are derived from wavelets coeficients. The connectionist models are used to perform syntactic parsing and prosodic-semantic mapping.

http://www.lbd.dcc.ufmg.br/colecoes/enia/2005/043.pdf

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