Speaker identification based on hybrid feature extraction techniques

One of the most exciting areas of signal processing is speech processing; speech contains many features or characteristics that can discriminate the identity of the person. The human voice is considered one of the important biometric characteristics that can be used for person identification. Th...

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Main Authors:	Abualadas, Feras E., M.Khedher, Akram M. Zeki, Al-Ani, Muzhir Shaban, Messikh, Az-Eddine
Format:	Article
Language:	English English English
Published:	The Science and Information Organization 2019
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/72390/ http://irep.iium.edu.my/72390/ http://irep.iium.edu.my/72390/ http://irep.iium.edu.my/72390/1/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques.pdf http://irep.iium.edu.my/72390/2/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques%20SCOPUS.pdf http://irep.iium.edu.my/72390/13/72390_Speaker%20Identification%20based%20on%20Hybrid%20Feature%20Extraction%20Techniques_wos.pdf

id	iium-72390
recordtype	eprints
spelling	iium-723902019-08-01T03:21:54Z http://irep.iium.edu.my/72390/ Speaker identification based on hybrid feature extraction techniques Abualadas, Feras E. M.Khedher, Akram M. Zeki Al-Ani, Muzhir Shaban Messikh, Az-Eddine T Technology (General) One of the most exciting areas of signal processing is speech processing; speech contains many features or characteristics that can discriminate the identity of the person. The human voice is considered one of the important biometric characteristics that can be used for person identification. This work is concerned with studying the effect of appropriate extracted features from various levels of discrete wavelet transformation (DWT) and the concatenation of two techniques (discrete wavelet and curvelet transform) and study the effect of reducing the number of features by using principal component analysis (PCA) on speaker identification. Backpropagation (BP) neural network was also introduced as a classifier. The Science and Information Organization 2019 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72390/1/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques.pdf application/pdf en http://irep.iium.edu.my/72390/2/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques%20SCOPUS.pdf application/pdf en http://irep.iium.edu.my/72390/13/72390_Speaker%20Identification%20based%20on%20Hybrid%20Feature%20Extraction%20Techniques_wos.pdf Abualadas, Feras E. and M.Khedher, Akram M. Zeki and Al-Ani, Muzhir Shaban and Messikh, Az-Eddine (2019) Speaker identification based on hybrid feature extraction techniques. International Journal of Advanced Computer Science and Applications, 10 (3). pp. 322-327. ISSN 2158-107X E-ISSN 2156-5570 https://thesai.org/Downloads/Volume10No3/Paper_42-Speaker_Identification_based_on_Hybrid_Feature.pdf 10.14569/IJACSA.2019.0100342
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	T Technology (General)
spellingShingle	T Technology (General) Abualadas, Feras E. M.Khedher, Akram M. Zeki Al-Ani, Muzhir Shaban Messikh, Az-Eddine Speaker identification based on hybrid feature extraction techniques
description	One of the most exciting areas of signal processing is speech processing; speech contains many features or characteristics that can discriminate the identity of the person. The human voice is considered one of the important biometric characteristics that can be used for person identification. This work is concerned with studying the effect of appropriate extracted features from various levels of discrete wavelet transformation (DWT) and the concatenation of two techniques (discrete wavelet and curvelet transform) and study the effect of reducing the number of features by using principal component analysis (PCA) on speaker identification. Backpropagation (BP) neural network was also introduced as a classifier.
format	Article
author	Abualadas, Feras E. M.Khedher, Akram M. Zeki Al-Ani, Muzhir Shaban Messikh, Az-Eddine
author_facet	Abualadas, Feras E. M.Khedher, Akram M. Zeki Al-Ani, Muzhir Shaban Messikh, Az-Eddine
author_sort	Abualadas, Feras E.
title	Speaker identification based on hybrid feature extraction techniques
title_short	Speaker identification based on hybrid feature extraction techniques
title_full	Speaker identification based on hybrid feature extraction techniques
title_fullStr	Speaker identification based on hybrid feature extraction techniques
title_full_unstemmed	Speaker identification based on hybrid feature extraction techniques
title_sort	speaker identification based on hybrid feature extraction techniques
publisher	The Science and Information Organization
publishDate	2019
url	http://irep.iium.edu.my/72390/ http://irep.iium.edu.my/72390/ http://irep.iium.edu.my/72390/ http://irep.iium.edu.my/72390/1/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques.pdf http://irep.iium.edu.my/72390/2/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques%20SCOPUS.pdf http://irep.iium.edu.my/72390/13/72390_Speaker%20Identification%20based%20on%20Hybrid%20Feature%20Extraction%20Techniques_wos.pdf
first_indexed	2023-09-18T21:42:34Z
last_indexed	2023-09-18T21:42:34Z
_version_	1777413238042918912

Speaker identification based on hybrid feature extraction techniques

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