An efficient voice enabled web content retrieval system for limited vocabulary
|An efficient voice enabled web content retrieval system for limited vocabulary|
|Author(s)||Bharath Ram G.R., Jayakumaur R., Narayan R., Shahina A., Khan A.N.|
|Published in||Communications in Computer and Information Science|
|Keyword(s)||Content Retrieval, Regular Expressions, Speech to Text, Sphinx 4, Wikipedia (Extra: Content retrieval, Open sources, Regular expressions, Specific information, Speech recognition engine, Sphinx 4, Textual information, Web content, Wikipedia, Artificial intelligence, Data processing, Information retrieval, Websites, Search engines)|
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|Browse properties · List of conference papers|
An efficient voice enabled web content retrieval system for limited vocabulary is a 2012 conference paper written in English by Bharath Ram G.R., Jayakumaur R., Narayan R., Shahina A., Khan A.N. and published in Communications in Computer and Information Science.
Retrieval of relevant information is becoming increasingly difficult owing to the presence of an ocean of information in the World Wide Web. Users in need of quick access to specific information are sub-jected to a series of web re-directions before finally arriving at the page that contains the required information. In this paper, an optimal voice based web content retrieval system is proposed that makes use of an open source speech recognition engine to deal with voice inputs. The proposed system performs a quicker retrieval of relevant content from Wikipedia and instantly presents the textual information along with the related image to the user. This search is faster than the conventional web content retrieval technique. The current system is built with limited vocabulary but can be extended to support a larger vocabulary. Additionally, the system is also scalable to retrieve content from few other sources of information apart from Wikipedia.
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