文章基本信息

标题：A Survey on Automatic Question-answering process in Speech using Spoken term detection
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作者：M.Mamatha ; T.Bhaskar Reddy
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：49
期号：5
页码：263-265
DOI：10.14445/22312803/IJCTT-V49P143
出版社：Seventh Sense Research Group
摘要：The advent of WWW has reintroduced the need for userfriendly querying techniques in speech that reduce information overflow, and poses new challenges to the research in automated QA. The goal of current works of the unity of research of Technologies is to improve efficiency of elearning by introducing intelligence into elearning environments and automating a set of its features. The system allows learners to post subject related questions / doubts to the subject experts in speech. This usually requires the subject expert to answer the same query with different sentence framing a number of times. This paper discusses the development of an automated frequently asked questions retrieval system techniques in speech. This paper discuss few simple Speech Recognition and retrieval techniques using STD briefly.
关键词：Speech Recognition; Spoken Term Detection(STD; LVCSR; HMM.