文章基本信息

标题：SPEECH RECOGNITION USING GENERIC SHORTEST DISTANCE ALGORITHM
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作者：Mahak Dureja ; Sumanlata Gautam
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2016
卷号：7
期号：3
页码：91-94
出版社：Engg Journals Publications
摘要：The first major contribution of this paper may well be a dialog model support propositional content andintentions. Two distinct components of the model square measure mentioned in depth: (a) associate approach tothe 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 movesand dialog games alongside dialogue phases. These building blocks could also be organized in a way the bestthat the complete dialogue is delineate on five utterly completely different levels terribly very languageindependentway.A replacement characterization referred to as dialogue moves is introduced that cover several dialogue acts. Thesystem supports zero verbal communications with foreign interlocutors in mobile things. It acknowledgesspoken input, analyses and interprets it, and ultimately utters the interpretation. This polyglot system handlesdialog in three business-oriented domains, with duplex translation between two languages (English, and Hindi).
关键词：Speech Recognition; speech to speech translation; machine translation; text to speech synthesis;mathematics linguistics.