EST

Call for paper
April Edition 2017

International Journal of Applied Information Systems solicits high quality original research papers for the
March 15, 2017
April 2017 Edition of the journal.
The last date of research paper submission is
March 15, 2017
SUBMIT YOUR PAPER

Number 9

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

journal image
 Download
1281

Export

  • Shachi Sharma and Krishna Kumar Sharma and Himanshu Arora 2012. A Natural Human-Machine Interaction via an Efficient Speech Recognition System. International Journal of Applied Information Systems. 4, 9 (December 2012), 31-37. DOI=http://dx.doi.org/10.5120/ijais450797 
  • @article{10.5120/ijais2017451568,
author = {Shachi Sharma and Krishna Kumar Sharma and 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 = {},
month = {December},
year = {2012},
issn = {},
pages = {31-37},
numpages = {},
url = {/archives/volume4/number9/389-0797},
doi = { 10.5120/ijais12-450797},
publisher = { xA9 2012 by IJAIS Journal},
address = {}
}

  • %1 450797
%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
%@ 
%V 4
%N 
%P 31-37
%D 2012
%I  xA9 2012 by IJAIS Journal

Abstract

Laplacian pyramid based nonlinear diffusion (LPND) method is proposed for speckle noise reduction in medical ultrasound imaging. In this method, speckle is removed by nonlinear diffusion filtering of bandpass ultrasound images in Laplacian pyramid domain. For nonlinear diffusion in each pyramid layer, a Bayesian threshold is automatically determined by a variation of robust median estimator. The proposed LPND method reduces speckle noise significantly while preserving sharp image details. The superiority of the proposed LPND over the conventional LPND based on Gaussian filtering and LPND method based on Butterworth filtering based speckle reduction technique is demonstrated by applying them on synthetic and real ultrasound B-mode images.

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.

Keywords

Speech Recognition system, DHMM, hybrid feature set

Index Terms

Computer Science
Information Sciences