NDLI: Speech recognition open source tools for the semantic identification of the sentence

Content Provider	IEEE Xplore Digital Library
Author	Shanmugapriya, R. RajaMohammed, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Kalaignar Karunanidhi Inst. of Technol., Coimbatore, India (Shanmugapriya, R.; RajaMohammed, S.)
Abstract	In the NLP world the recognizing speech as in the voice recognition and also allowing voice to serve as the "main interface between the human and the computer. This paper mainly focuses on the tools that are used to deliver how current speech recognition technology facilitates the learning part of the students, and also in what way the technology will be help to developing the advance learning system for future. The tools like speech to text conversion are to be discussed in this paper and also focused some attributes for the semantic identification. Although speech recognition has a potential benefit for students with physical disabilities and harsh learning disabilities, these are the technology in which it has been implemented inconsistently in the classroom above the years. By means of this the knowledge continues to develop, on the other hand, various issues are being addressed.
Starting Page	1
Ending Page	3
File Size	3314027
Page Count	3
File Format	PDF
e-ISBN	9781479949823
DOI	10.1109/ICGCCEE.2014.6921401
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Speech Recognition Accuracy Semantics Speech recognition Natural Language Processing Ontologies Speech Software Knowledge Learning Disabilities Speech to text
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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