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Reseach Article

Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master-Slave Architecture

by J.v.s. Srinivas, G. Sandhya Prafulla, P. Premchand
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 3
Year of Publication: 2012
Authors: J.v.s. Srinivas, G. Sandhya Prafulla, P. Premchand
10.5120/7332-9924

J.v.s. Srinivas, G. Sandhya Prafulla, P. Premchand . Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master-Slave Architecture. International Journal of Computer Applications. 48, 3 ( June 2012), 45-49. DOI=10.5120/7332-9924

@article{ 10.5120/7332-9924,
author = { J.v.s. Srinivas, G. Sandhya Prafulla, P. Premchand },
title = { Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master-Slave Architecture },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 3 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 45-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number3/7332-9924/ },
doi = { 10.5120/7332-9924 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:10.468925+05:30
%A J.v.s. Srinivas
%A G. Sandhya Prafulla
%A P. Premchand
%T Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master-Slave Architecture
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 3
%P 45-49
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Objective of the work is speaker independent recognition of vowels of British English. Back propagation is one of the simplest and most widely used methods for supervised training of multi layer neural networks. In this paper we use parallel implementation of Backpropagation (BP) on Master – Slave architecture to recognize speaker independent eleven steady state vowels of British English. We perform the recognition task on both sequential and parallel implementation. The performance parameters speed-up, optimal number of processors and processing time are evaluated for both implementations.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Vowel Dataset From Uci Backpropagation Algorithm Parallel Implementation Master-slave Architecture Learning Rate