Computational Model of Speech Understanding

This paper proposes a speech comprehension computational model based on neurocognitiveresearches. The computational representation uses techniques as wavelets transform and connectionist models. The speech signal codification and data prosodic extraction are derived from wavelet coefficients. Moreover, the connectionist models are used to perform syntactic parsing and prosodic-semantic mapping. Thus, the computational model applies three approaches: the application of wavelet coefficients as input in connectionist language analysis, the use of SARDSRNRAAM system to syntactic analysis as well as the proposition of prosodic-semantic maps to language contexts definition. KEY WORDS Connectionist Models, Natural Language Processing, Human-Computer Interfaces, Spoken Language Understanding.

• Type: Conference
• Year: 2006
• Where: AIA
• Authors: Daniel Nehme Müller, Philippe Olivier Alexandre Navaux
• Keywords: AIA 2006, AIA 2007, Computational Model, Connectionist Models, Wavelet Coefficients