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Development of a Text-Dependent Speaker Recognition System

by Aliyu E. O., Adewale O. S., Adetunmbi A. O.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 16
Year of Publication: 2013
Authors: Aliyu E. O., Adewale O. S., Adetunmbi A. O.
10.5120/12043-7021

Aliyu E. O., Adewale O. S., Adetunmbi A. O. . Development of a Text-Dependent Speaker Recognition System. International Journal of Computer Applications. 69, 16 ( May 2013), 1-7. DOI=10.5120/12043-7021

@article{ 10.5120/12043-7021,
author = { Aliyu E. O., Adewale O. S., Adetunmbi A. O. },
title = { Development of a Text-Dependent Speaker Recognition System },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 16 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number16/12043-7021/ },
doi = { 10.5120/12043-7021 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:24.668961+05:30
%A Aliyu E. O.
%A Adewale O. S.
%A Adetunmbi A. O.
%T Development of a Text-Dependent Speaker Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 16
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speaker recognition is the ability of recognizing a person based on his voice. Many modalities and techniques have been applied to achieve the task of authentication, ranging from retina scans to finger prints. This paper presents a Text-Dependent model for automatic Speaker Recognition. Features extractor are based on Mel-Frequency Cepstrum Coefficients (MFCCs) and Linear Predictive Coding (LPC) analysis technique which aids the translation of incoming speech into a feature value. Also, a recognizer block, employs the two techniques (MFCC and LPC) to get an hybrid features for speaker identification/verification system. An experiment was carried out on the threshold from 75% to 95% at 5% differential to know the performance of the MFCCs and LPC identification/verification system. From the experiment carried out, the result shows that LPC outperforms MFCCs and a combination. The text-dependent speaker recognition system was implemented using Java Programming Language (Java Speech Application Programming Interface (JSAPI) ). The system is developed for access control into computer systems and could be used for access control where security is considered to be of utmost important.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Text-Dependent Speech Recognition Mel-Frequence Cepstrum Coefficients (MFCCs) Linear Predictive Coding (LPC)

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