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Reseach Article

A Review on User Identification using Voice as a Biometric Feature

Published on August 2018 by Sumit Srivastava, G. Sahoo, Namanladha, Mahesh Chandra
National Conference on Recent Trends in Electronics and Electrical Engineering
Foundation of Computer Science USA
NCRTEEE2017 - Number 1
August 2018
Authors: Sumit Srivastava, G. Sahoo, Namanladha, Mahesh Chandra
1bc68255-7789-4f5c-891a-c58bab122250

Sumit Srivastava, G. Sahoo, Namanladha, Mahesh Chandra . A Review on User Identification using Voice as a Biometric Feature. National Conference on Recent Trends in Electronics and Electrical Engineering. NCRTEEE2017, 1 (August 2018), 11-14.

@article{
author = { Sumit Srivastava, G. Sahoo, Namanladha, Mahesh Chandra },
title = { A Review on User Identification using Voice as a Biometric Feature },
journal = { National Conference on Recent Trends in Electronics and Electrical Engineering },
issue_date = { August 2018 },
volume = { NCRTEEE2017 },
number = { 1 },
month = { August },
year = { 2018 },
issn = 0975-8887,
pages = { 11-14 },
numpages = 4,
url = { /proceedings/ncrteee2017/number1/29884-1706/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Electronics and Electrical Engineering
%A Sumit Srivastava
%A G. Sahoo
%A Namanladha
%A Mahesh Chandra
%T A Review on User Identification using Voice as a Biometric Feature
%J National Conference on Recent Trends in Electronics and Electrical Engineering
%@ 0975-8887
%V NCRTEEE2017
%N 1
%P 11-14
%D 2018
%I International Journal of Computer Applications
Abstract

In this paper, we provide a concise overview for the user identification using his biometric featurespeech. Voice processing has multiple fields of research and is widely used in many applications. Speaker recognition to identify user is a complex process in which various techniques (feature extraction, feature matching, and identification) is used to match varied characteristics of voice between training and testing data to identify the user. This paper aims to discuss efficient method to implement the identification of user on basis of their biometric feature- speech.

References
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Index Terms

Computer Science
Information Sciences

Keywords

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