A cascaded voice biometric system

Roaya Salhalden A. Abdalrahman; Bülent Bolat; Nihan Kahraman

doi:10.1016/j.procs.2018.04.334

A cascaded voice biometric system

Roaya Salhalden A. Abdalrahman
, Bülent Bolat^*
, Nihan Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Yildiz Technical University

Araştırma sonucu: Dergiye katkı › Konferans makalesi › bilirkişi

2 Atıf (Scopus)

Özet

This paper presents a voice biometric system which uses both text dependent and independent speaker and speech recognition methods. The Mel Frequency Cepstral Coefficients (MFCC) and pitch period are used as features and the decision is made by using Euclidian distance metric. This cascaded procedure reduces the False Positive Rate and increases the security of biometric recognition system. It is shown that cascaded system defines voice recognition better in terms of accuracy, safety and difficulty of penetration. The efficiency of the identification system is high up to approximately 91.2%.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	1223-1228
Sayfa sayısı	6
Dergi	Procedia Computer Science
Hacim	131
DOI'lar	https://doi.org/10.1016/j.procs.2018.04.334
Yayın durumu	Yayınlandı - 2018
Harici olarak yayınlandı	Evet
Etkinlik	8th International Congress of Information and Communication Technology, ICICT 2018 - Xiamen, China Süre: 27 Oca 2018 → 28 Oca 2018

Bibliyografik not

Publisher Copyright:
© 2018 The Authors. Published by Elsevier Ltd.

Belgeye Erişim

10.1016/j.procs.2018.04.334

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@article{6137db76f973434bb925321dafda9c34,

title = "A cascaded voice biometric system",

abstract = "This paper presents a voice biometric system which uses both text dependent and independent speaker and speech recognition methods. The Mel Frequency Cepstral Coefficients (MFCC) and pitch period are used as features and the decision is made by using Euclidian distance metric. This cascaded procedure reduces the False Positive Rate and increases the security of biometric recognition system. It is shown that cascaded system defines voice recognition better in terms of accuracy, safety and difficulty of penetration. The efficiency of the identification system is high up to approximately 91.2\%.",

keywords = "Mel frequency cepstral coefficients, Pitch period, Speaker recognition",

author = "Abdalrahman, \{Roaya Salhalden A.\} and B{\"u}lent Bolat and Nihan Kahraman",

note = "Publisher Copyright: {\textcopyright} 2018 The Authors. Published by Elsevier Ltd.; 8th International Congress of Information and Communication Technology, ICICT 2018 ; Conference date: 27-01-2018 Through 28-01-2018",

year = "2018",

doi = "10.1016/j.procs.2018.04.334",

language = "English",

volume = "131",

pages = "1223--1228",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - A cascaded voice biometric system

AU - Abdalrahman, Roaya Salhalden A.

AU - Bolat, Bülent

AU - Kahraman, Nihan

PY - 2018

Y1 - 2018

N2 - This paper presents a voice biometric system which uses both text dependent and independent speaker and speech recognition methods. The Mel Frequency Cepstral Coefficients (MFCC) and pitch period are used as features and the decision is made by using Euclidian distance metric. This cascaded procedure reduces the False Positive Rate and increases the security of biometric recognition system. It is shown that cascaded system defines voice recognition better in terms of accuracy, safety and difficulty of penetration. The efficiency of the identification system is high up to approximately 91.2%.

AB - This paper presents a voice biometric system which uses both text dependent and independent speaker and speech recognition methods. The Mel Frequency Cepstral Coefficients (MFCC) and pitch period are used as features and the decision is made by using Euclidian distance metric. This cascaded procedure reduces the False Positive Rate and increases the security of biometric recognition system. It is shown that cascaded system defines voice recognition better in terms of accuracy, safety and difficulty of penetration. The efficiency of the identification system is high up to approximately 91.2%.

KW - Mel frequency cepstral coefficients

KW - Pitch period

KW - Speaker recognition

UR - https://www.scopus.com/pages/publications/85061297428

U2 - 10.1016/j.procs.2018.04.334

DO - 10.1016/j.procs.2018.04.334

M3 - Conference article

AN - SCOPUS:85061297428

SN - 1877-0509

VL - 131

SP - 1223

EP - 1228

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 8th International Congress of Information and Communication Technology, ICICT 2018

Y2 - 27 January 2018 through 28 January 2018

ER -

A cascaded voice biometric system

Özet

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap