Title :
Speech recognition open source tools for the semantic identification of the sentence
Author :
Shanmugapriya, R. ; RajaMohammed, S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Kalaignar Karunanidhi Inst. of Technol., Coimbatore, India
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.
Keywords :
natural language processing; public domain software; speech recognition; speech synthesis; advance learning system; learning disabilities; natural language processing; open source tools; semantic identification; speech recognition; speech to text conversion; voice recognition; Accuracy; Computers; Ontologies; Semantics; Software; Speech; Speech recognition; Natural Language Processing; Speech Recognition; Speech to text; knowledge; learning Disabilities;
Conference_Titel :
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICGCCEE.2014.6921401