We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Reviewing Human-Machine Interaction through Speech Recognition approaches and Analyzing an approach for Designing an Efficient System

by Krishan Kant Lavania, Shachi Sharma, Krishna Kumar Sharma
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 3
Year of Publication: 2012
Authors: Krishan Kant Lavania, Shachi Sharma, Krishna Kumar Sharma
10.5120/4669-6773

Krishan Kant Lavania, Shachi Sharma, Krishna Kumar Sharma . Reviewing Human-Machine Interaction through Speech Recognition approaches and Analyzing an approach for Designing an Efficient System. International Journal of Computer Applications. 38, 3 ( January 2012), 26-32. DOI=10.5120/4669-6773

@article{ 10.5120/4669-6773,
author = { Krishan Kant Lavania, Shachi Sharma, Krishna Kumar Sharma },
title = { Reviewing Human-Machine Interaction through Speech Recognition approaches and Analyzing an approach for Designing an Efficient System },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 3 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number3/4669-6773/ },
doi = { 10.5120/4669-6773 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:37.054538+05:30
%A Krishan Kant Lavania
%A Shachi Sharma
%A Krishna Kumar Sharma
%T Reviewing Human-Machine Interaction through Speech Recognition approaches and Analyzing an approach for Designing an Efficient System
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 3
%P 26-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech is most natural way of interaction for human. It has broad applications in the human-machine and human-computer interaction. This paper reviews the literature and the technological aspects of human-machine interaction through various speech recognition approaches. It also discusses the various techniques used in each step of a speech recognition process and attempts to analyze an approach for designing an efficient system for speech recognition. It also discusses that how this system works and its application in various areas.

References
  1. M. Cowling, R. Sitte, Analysis of Speech Recognition Techniques for use in a Non-Speech Sound Recognition System, Member, IEEE, Griffith University, Gold Coast, Qld, Australia.
  2. W. Gevaert, G. Tsenov, Senior Member, IEEE “Neural Networks used for Speech Recognition” Journal of Automatic Control, Belgrade, VOL. 20:1-7, 2010.
  3. S. K.Gaikwad, B.W.Gawali, “A Review on Speech Recognition Technique” International Journal of Computer Applications (0975 – 8887)Volume 10– No.3, November 2010.
  4. M. P. Kesarkar,“Feature Extraction for Speech Recognition”, Electronic Systems, EE. Dept., IIT Bombay, November, 2003
  5. M AAnusuya, “Classification Techniques used in Speech Recognition Applications: A Review” International Journal Computer Technology Application, Vol. 2 (4), 910-954.
  6. K Sharma, H.P.Sinha “Comparative Study Of Speech recognition System using various feature extraction techniques” Int. J. IT and Knowledge ManagementJuly-Dec 2010, Volume 3, No. 2, pp. 695-698
  7. Mporas, T.Ganchev,” Comparison of Speech Features on the Speech Recognition Task”, Journal of Computer Science 3 (8): 608-616, 2007
  8. N. Meseguer, “Speech analysis for automatic speech recognition” Nowegian University of science and Technology.
  9. M. Gill, R. Kaur, “Vector Quantization based Speaker Identification”, Int. Journal of computer applications”,Vol 4 – No.2, July 2010
  10. S.Vimala, “Convergence Analysis of Codebook Generation Techniques for Vector Quantization using K-Means Clustering Technique”, International Journal of Computer Applications Vol. 21– No.8, May 2011
  11. S.Melnikoff, S.Quigley, “Implementing a Hidden Markov Model SpeechRecognition System” 11th International Conference on Field Programmable Logic and Applications, FPL 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Speech recognition (SR) human-machine interaction

Powered by PhDFocusTM