A Model to Computational Speech Understanding

摘要

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.