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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
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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.
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  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

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