SPEECH RECOGNITION USING GENERIC SHORTEST DISTANCE ALGORITHM

Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 3

Abstract

The first major contribution of this paper may well be a dialog model support propositional content and intentions. Two distinct components of the model square measure mentioned in depth: (a) associate approach to the modeling and trailing of propositional content that support description logics and default unification. (b) Associate approach to the modeling and trailing of intentions that is supported dialogue acts, dialogue moves and dialog games alongside dialogue phases. These building blocks could also be organized in a way the best that the complete dialogue is delineate on five utterly completely different levels terribly very languageindependent way. A replacement characterization referred to as dialogue moves is introduced that cover several dialogue acts. The system supports zero verbal communications with foreign interlocutors in mobile things. It acknowledges spoken input, analyses and interprets it, and ultimately utters the interpretation. This polyglot system handles dialog in three business-oriented domains, with duplex translation between two languages (English, and Hindi).

Authors and Affiliations

Mahak Dureja , Sumanlata Gautam

Keywords

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  • EP ID EP159570
  • DOI -
  • Views 106
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How To Cite

Mahak Dureja, Sumanlata Gautam (2016). SPEECH RECOGNITION USING GENERIC SHORTEST DISTANCE ALGORITHM. Indian Journal of Computer Science and Engineering, 7(3), 91-94. https://europub.co.uk/articles/-A-159570