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76669

Effect of Reverberation Phenomena on Text- independent Speaker Recognition Based Deep Learning

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Last updated: 04 Jan 2025

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Abstract

Speaker recognition is one of many biometric authentications, due to its high importance in many applications of security considerations and telecommunications. The main aspiration of speaker recognition system is to know who is speaking depending on voice characteristics. Many current researches focuses on text-dependent speaker recognition which has a pre-knowledge of what utterance the speaker will say. In this paper text-independent speaker recognition system is used, where no prior knowledge is accessible in the context of the speakers' utterances for all stages. A Convolutional Neural Network (CNN) based feature extraction is extended to a text-independent Speaker recognition task. Also the effect of reverberation on speaker recognition is addressed. All the speech signals are converted into images by obtaining their spectrograms. A proposed CNN model is presented to enhance the performance of the system in case of a reverberant signal. It depends on image processing concepts, and hence spectrograms of signals are used. The proposed model is compared with a conventional benchmark model. The performance of the recognition system is measured by the recognition rate in the case of clean and reverberant data.

DOI

10.21608/mjeer.2019.76669

Keywords

Speaker recognition, CNN, reverberation, spectrogram, recognition rate

Authors

First Name

Samia

Last Name

Abd El-Moneim

MiddleName

-

Affiliation

Communications and Electronics Department Tanta High Institute of Engineering and Technology Tanta, Egypt

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First Name

Shaimaa E. A. Aziz

Last Name

Hassan

MiddleName

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Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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Orcid

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First Name

Ahmed

Last Name

Sedik

MiddleName

-

Affiliation

Department of Robotics and intelligent machines, Faculty of artificial intelligents Kafrelsheikh University: Egypt

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First Name

M. A.

Last Name

Nassar

MiddleName

-

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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First Name

Moawd I.

Last Name

Dessouky

MiddleName

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Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt,

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First Name

Nabil A.

Last Name

Ismail

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Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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-

Orcid

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First Name

Adel S.

Last Name

El-Fishawy

MiddleName

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Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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Orcid

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First Name

Ghada M.

Last Name

El-Banby

MiddleName

-

Affiliation

Automatic Control Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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Orcid

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First Name

Ashraf A. M.

Last Name

Khalaf

MiddleName

-

Affiliation

Electrical engineering Department Faculty of Engineering,Minia University: Egypt

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City

-

Orcid

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First Name

Fathi I.

Last Name

Abd El-Samie

MiddleName

-

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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-

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Volume

28

Article Issue

ICEEM2019-Special Issue

Related Issue

9704

Issue Date

2019-12-01

Receive Date

2020-03-10

Publish Date

2019-12-01

Page Start

19

Page End

23

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_76669.html

Detail API

https://mjeer.journals.ekb.eg/service?article_code=76669

Order

25

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Effect of Reverberation Phenomena on Text- independent Speaker Recognition Based Deep Learning

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Type

Article

Created At

22 Jan 2023