A model to computational speech understanding

  • Authors:
  • Daniel Nehme Müller;Mozart Lemos de Siqueira;Philippe O. A. Navaux

  • Affiliations:
  • The Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil;The Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil;The Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

  • Venue:
  • PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
  • Year:
  • 2006

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Abstract

We propose a speech comprehension software architecture to represent the flow of the natural processing of auditory sentences. The computational implementation applies wavelets transforms to speech signal codification and data prosodic extraction, and connectionist models to syntactic parsing and prosodic-semantic mapping.