A Model to Computational Speech Understanding
Autor: | Mozart Lemos de Siqueira, Daniel Nehme Müller, Philippe O. A. Navaux |
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Rok vydání: | 2006 |
Předmět: |
Parsing
Computer science business.industry Speech recognition SIGNAL (programming language) Pitch detection algorithm computer.software_genre ComputingMethodologies_PATTERNRECOGNITION Wavelet Connectionism Natural (music) Artificial intelligence Software architecture business computer Natural language processing Syntactic parsing |
Zdroj: | Lecture Notes in Computer Science ISBN: 9783540340454 PROPOR |
DOI: | 10.1007/11751984_25 |
Popis: | 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. |
Databáze: | OpenAIRE |
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