Identifying Speakers Using Deep Learning: A review Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez

Identifying Speakers Using Deep Learning: A review

Author (s)

Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez

Abstract

­With the advancement of technology and the increasing demand on smart systems and smart applications that provide a quality-of-life improvement, there has been a surge in the demand of more conscious applications, Machine Learning (ML) is considered one of the driving forces behind implementing these types of applications, and one of its implementations is Speaker Identification (SID). Deep Neural Networks (DNNs) and also Recurrent Neural Networks (RNNs) are two main types of Deep Learning that are being used in the implementation of such applications. Speaker Identification is being utilized more and more on daily basis and is being focused on by the research community as a result of this demand. In this paper, a review will be conducted to some of the most recent researches that were conducted in this area and compare their results while discussing their outcomes.

 Keywords: Machine Learning, Speaker Identification, Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks.

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Title: Identifying Speakers Using Deep Learning: A review
Author: Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4481596
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 28/01/2021
Date of Publication: 30/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/682.pdf
Free download: Available
Page: 15-26
First Page: 15
Last Page: 26
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez (2021). Identifying Speakers Using Deep Learning: A review. International Journal of Science and Business, 5(3), 15-26. doi: https://doi.org/10.5281/zenodo.4481596

Retrieved from https://ijsab.com/wp-content/uploads/682.pdf

 

About Author (s)

Lawchak Fadhil Khalid (corresponding author), Technical College of Informatics – Akre, Duhok Polytechnic University (DPU), Kurdistan Region, Iraq. Email: lawchak.fadhil@gmail.com

Adnan Mohsin Abdulazeez, Duhok Polytechnic University (DPU), Kurdistan Region, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.4481596

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