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Feature Selection Method for Speaker Recognition using Neural Network

by Dipen Nath, Sanjib Kr. Kalita
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 3
Year of Publication: 2014
Authors: Dipen Nath, Sanjib Kr. Kalita
10.5120/17670-8499

Dipen Nath, Sanjib Kr. Kalita . Feature Selection Method for Speaker Recognition using Neural Network. International Journal of Computer Applications. 101, 3 ( September 2014), 38-44. DOI=10.5120/17670-8499

@article{ 10.5120/17670-8499,
author = { Dipen Nath, Sanjib Kr. Kalita },
title = { Feature Selection Method for Speaker Recognition using Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 3 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 38-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number3/17670-8499/ },
doi = { 10.5120/17670-8499 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:45.960511+05:30
%A Dipen Nath
%A Sanjib Kr. Kalita
%T Feature Selection Method for Speaker Recognition using Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 3
%P 38-44
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is to extract and select features from speech signal that will make it possible to have acceptable speaker recognition rate in real life. A variety of combinations among formants (F1, F2, F3), Linear Predictive Coefficients (LPC), Mel Frequency Cepstral Coefficients (MFCC) and delta- Mel Frequency Cepstral Coefficients representing features are considered and their effect in speaker recognition is observed. Two similar volume data sets with differed string (words) are considered in the present study. These two data sets are prepared taking into account two differed data sampling rates. The study reveals another interesting fact that the selection of strings in speaker enrollment process is a matter of importance for accurate result. This means that the speaker will be tested for authentication with the same string with which he was enrolled earlier during the time of his first access to the system.

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Index Terms

Computer Science
Information Sciences

Keywords

Feature Extraction Feed Forward Neural Network Speaker Recognition

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