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- W128484360 abstract "We motivate and describe an implementation of the MINDS* speech recognition system. MINDS uses knowledge of dialog structures, user goals and focus in a problem solving situation. The knowledge is combined to form predictions which translate into dynamically generated semantic network grammars. An experiment evaluated recognition accuracy given different levels of knowledge as constraints. Our results show that speech recognition accuracy improves dramatically, when the maximally constrained dynamic network grammar is used to process the speech input signal. 1. ~~tr~duct~~~: The Need to Integrate Speech" @default.
- W128484360 created "2016-06-24" @default.
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- W128484360 date "1988-01-01" @default.
- W128484360 modified "2023-09-27" @default.
- W128484360 title "Using Dialog-Level owledge Sources to I ecognith" @default.
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