Cart (Loading....) | Create Account
Close category search window
 

Key-Word Based Query Recognition in a Speech Corpus by Using Artificial Neural Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Raji Sukumar, A. ; Sch. of Inf. Sci. & Technol., Kannur Univ., Kannur, India ; Sarin Sukumar, A. ; Firoz Shah, A. ; Anto P, B.

Information Retrieval deals with the easy access to the information based on the user's request, which will be presented in the form of a query. A dialog system that understands spoken natural language queries asks for further information if necessary and produces an answer to the speaker's query. Most of the research works in Information Extraction focus only on written language processing, in which a few are devoted to the study of Spoken Language Information Extraction. This paper discusses a novel technique for recognition of the isolated question words from Malayalam (one of the south Indian languages) speech query. We have created and analyzed a database consisting of 500 isolated question words. Fast Fourier Transform (FFT) and Discrete Cosine transform (DCT) is used for the feature extraction purpose and Artificial Neural Network (ANN) is used for classification and recognition. A recognition accuracy of 85% could be achieved from this experiment.

Published in:

Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on

Date of Conference:

28-30 July 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.