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Distance Method with PCA based Speaker Identification

by Noor Khaled
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 15
Year of Publication: 2016
Authors: Noor Khaled
10.5120/ijca2016910871

Noor Khaled . Distance Method with PCA based Speaker Identification. International Journal of Computer Applications. 145, 15 ( Jul 2016), 19-21. DOI=10.5120/ijca2016910871

@article{ 10.5120/ijca2016910871,
author = { Noor Khaled },
title = { Distance Method with PCA based Speaker Identification },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 15 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 19-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number15/25355-2016910871/ },
doi = { 10.5120/ijca2016910871 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:56.729699+05:30
%A Noor Khaled
%T Distance Method with PCA based Speaker Identification
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 15
%P 19-21
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is dedicated to present statistic method with dimensionality reduction for speaker identification. LPC is involved to formed set of descriptors for the speaker data. The formed descriptors vectors are evaluated to realize dimensionality reduction by PCA. This set of selected features is recognized by distance method. The experimental result revealed that the proposed work is achieved in better performance than without reduction.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Pattern Recognition Dimensionality Reduction.

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