CFP last date
15 May 2024
Call for Paper
June Edition
IJAIS solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 15 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Analysis of ANN Training Algorithms for Hand Geometry-Based Access Control

Kazeem B. Adedeji Apena Waliu O. Adu Michael R.
Random Articles
Reseach Article

A Natural Human-Machine Interaction via an Efficient Speech Recognition System

by Shachi Sharma, Krishna Kumar Sharma, Himanshu Arora
journal cover thumbnail

International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 9
Year of Publication: 2012
Authors: Shachi Sharma, Krishna Kumar Sharma, Himanshu Arora
10.5120/ijais12-450797

Shachi Sharma, Krishna Kumar Sharma, Himanshu Arora . A Natural Human-Machine Interaction via an Efficient Speech Recognition System. International Journal of Applied Information Systems. 4, 9 ( December 2012), 31-37. DOI=10.5120/ijais12-450797

@article{ 10.5120/ijais12-450797,
author = { Shachi Sharma, Krishna Kumar Sharma, Himanshu Arora },
title = { A Natural Human-Machine Interaction via an Efficient Speech Recognition System },
journal = { International Journal of Applied Information Systems },
issue_date = { December 2012 },
volume = { 4 },
number = { 9 },
month = { December },
year = { 2012 },
issn = { 2249-0868 },
pages = { 31-37 },
numpages = {9},
url = { https://www.ijais.org/archives/volume4/number9/389-0797/ },
doi = { 10.5120/ijais12-450797 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:48:02.859117+05:30
%A Shachi Sharma
%A Krishna Kumar Sharma
%A Himanshu Arora
%T A Natural Human-Machine Interaction via an Efficient Speech Recognition System
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 4
%N 9
%P 31-37
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is motivated from non-technical users' problems in using technical interfaces of computer. In village areas, farmers face problems in using conventional ways to use computers, so in order to design a natural interaction way of human with computer, an efficient speech recognition system should be developed. For this we designed a system application. User has to speak commands and the system performs according to commands. This is all tested in the mobile environment and with varying users. And from the results, conclusion has been derived that the hybrid feature set outperformed in the noisy environment as compared to individual feature set with their dynamic features. And the result was approximately 5% higher. When DHMM is implemented in the system, results increased.

References
  1. T. Fong, I. Nourbakhsh, K. Dautenhahn, "A survey of socially interactive robots, robotics and Autonomous Systems", ISBN 978-3-902613-13-4, Elsevier Publications Ltd. , vol. 42, pp. 143-166, 2003.
  2. M. A. Goodrich, A. Schultz, "Human Robot Interaction: A Survery," Foundations and Trends in Human-Computer Interaction, ISBN 978-1-60198-092-2, Goodrich's Publications Ltd. , vol. 1, pp. 203-275, 2007.
  3. L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, Feb1989.
  4. N. Zheng, Xia Li, Houwei Cao, Tan Lee, P. C. Ching, "Deriving MFCC parameters from the dynamic spectrum for robust speech recognition", ISCLP'08. 6th International Symposium on Chinese Spoken Language Processing, 2008.
  5. Sorensen and M. Swanholm, Speech coding and recognition course notes, [http://www. itu. dk. /courses/TKG/E2002], last accessed February 15, 2006.
  6. A. A. M. Abushariah, T. S. Gunawan, O. O. Khalifa, "English Digits Speech Recognition System Based on Hidden Markov Models", International Conference on Computer and Communication Engineering (ICCCE 2010), May 2010.
  7. K. K. Lavania , S. Sharma, K. K. Sharma, "Reviewing Human-Machine Interaction through Speech Recognition approaches and Analyzing an approach for Designing an Efficient System", Proc. of Int. Journal of Computer Applications, January 2012. Vol 38, No. 3, pp. 466-677.
Index Terms

Computer Science
Information Sciences

Keywords

Speech Recognition system DHMM hybrid feature set

Powered by PhDFocusTM