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Speech Recognition by Wavelet Analysis

by Nitin Trivedi, Dr. Vikesh Kumar, Saurabh Singh, Sachin Ahuja, Raman Chadha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 15 - Number 8
Year of Publication: 2011
Authors: Nitin Trivedi, Dr. Vikesh Kumar, Saurabh Singh, Sachin Ahuja, Raman Chadha
10.5120/1968-2635

Nitin Trivedi, Dr. Vikesh Kumar, Saurabh Singh, Sachin Ahuja, Raman Chadha . Speech Recognition by Wavelet Analysis. International Journal of Computer Applications. 15, 8 ( February 2011), 27-32. DOI=10.5120/1968-2635

@article{ 10.5120/1968-2635,
author = { Nitin Trivedi, Dr. Vikesh Kumar, Saurabh Singh, Sachin Ahuja, Raman Chadha },
title = { Speech Recognition by Wavelet Analysis },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 15 },
number = { 8 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume15/number8/1968-2635/ },
doi = { 10.5120/1968-2635 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:41.990391+05:30
%A Nitin Trivedi
%A Dr. Vikesh Kumar
%A Saurabh Singh
%A Sachin Ahuja
%A Raman Chadha
%T Speech Recognition by Wavelet Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 15
%N 8
%P 27-32
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In an effort to provide a more efficient representation of the speech signal, the application of the wavelet analysis is considered. This research presents an effective and robust method for extracting features for speech processing. Based on the time‐frequency multi‐resolution property of wavelet transform, the input speech signal is decomposed into various frequency channels.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Speech recognition feature extraction wavelet transform Discrete Wavelet Transform (DWT)

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