Research Article
Isolated Word Recognition System based on LPC and DTW Technique
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 59 - Issue 6 |
| Published: December 2012 |
| Authors: Rohini B. Shinde, V. P. Pawar |
10.5120/9549-4005
|
Rohini B. Shinde, V. P. Pawar . Isolated Word Recognition System based on LPC and DTW Technique. International Journal of Computer Applications. 59, 6 (December 2012), 1-4. DOI=10.5120/9549-4005
@article{ 10.5120/9549-4005,
author = { Rohini B. Shinde,V. P. Pawar },
title = { Isolated Word Recognition System based on LPC and DTW Technique },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 59 },
number = { 6 },
pages = { 1-4 },
doi = { 10.5120/9549-4005 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Rohini B. Shinde
%A V. P. Pawar
%T Isolated Word Recognition System based on LPC and DTW Technique%T
%J International Journal of Computer Applications
%V 59
%N 6
%P 1-4
%R 10.5120/9549-4005
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The Voice is a signal of infinite information. Digital processing of speech signal is very important for high and precise automatic voice recognition technology. Speech recognition has found its application on various aspects of our daily lives from automatic phone answering service to dictating text and issuing voice commands to computers. In this paper, we present the steps involved in the design of a speaker-independent speech recognition system for Marathi Language. We focus mainly on the pre-processing stage that extracts salient features of a speech signal and a technique called Dynamic Time Warping commonly used to compare the feature vectors of speech signals. These techniques are applied for recognition of isolated as well as connected words spoken. In his case the experiment is conducted in MATLAB to verify these techniques.
References
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