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Speaker Recognition System Techniques and Applications

Sukhandeep Kaur1 , Anwalvir Singh Dhindsa2

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-8 , Page no. 101-104, Aug-2015

Online published on Aug 31, 2015

Copyright © Sukhandeep Kaur , Anwalvir Singh Dhindsa . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sukhandeep Kaur , Anwalvir Singh Dhindsa , “Speaker Recognition System Techniques and Applications,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.8, pp.101-104, 2015.

MLA Style Citation: Sukhandeep Kaur , Anwalvir Singh Dhindsa "Speaker Recognition System Techniques and Applications." International Journal of Computer Sciences and Engineering 3.8 (2015): 101-104.

APA Style Citation: Sukhandeep Kaur , Anwalvir Singh Dhindsa , (2015). Speaker Recognition System Techniques and Applications. International Journal of Computer Sciences and Engineering, 3(8), 101-104.

BibTex Style Citation:
@article{Kaur_2015,
author = {Sukhandeep Kaur , Anwalvir Singh Dhindsa },
title = {Speaker Recognition System Techniques and Applications},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2015},
volume = {3},
Issue = {8},
month = {8},
year = {2015},
issn = {2347-2693},
pages = {101-104},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=617},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=617
TI - Speaker Recognition System Techniques and Applications
T2 - International Journal of Computer Sciences and Engineering
AU - Sukhandeep Kaur , Anwalvir Singh Dhindsa
PY - 2015
DA - 2015/08/31
PB - IJCSE, Indore, INDIA
SP - 101-104
IS - 8
VL - 3
SN - 2347-2693
ER -

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Abstract

Speaker verification is feasible method of controlling access to computer and communication network. It is an automatic process that uses human voice characteristics obtained from a recorded speech signal, as the biometric measurements to verify claimed identity of speaker. It can be classified into two categories, text–dependent and text-independent system. This paper introduces the fundamental concepts of speaker verification for security system. It focuses on techniques and their unique features.

Key-Words / Index Term

Speaker identification, Gamma tone frequency cepstral coefficient, Mel frequency cepstral coefficient

References

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