A Survey on Automatic Question-answering process in Speech using Spoken term detection
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : M.Mamatha, T.Bhaskar Reddy|
|DOI : 10.14445/22312803/IJCTT-V49P143|
M.Mamatha, T.Bhaskar Reddy "A Survey on Automatic Question-answering process in Speech using Spoken term detection". International Journal of Computer Trends and Technology (IJCTT) V49(5):263-265, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
The advent of WWW has reintroduced the need for user-friendly 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 e-learning by introducing intelligence into e-learning 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.
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Speech Recognition, Spoken Term Detection(STD,LVCSR, HMM.