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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| Format: | Article |
| Language: | English English English |
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The Science and Information Organization
2019
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| Online Access: | 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 |
| _version_ | 1848787606383362048 |
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| 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. |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:27:36Z |
| format | Article |
| id | iium-72390 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T17:27:36Z |
| publishDate | 2019 |
| publisher | The Science and Information Organization |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| 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 |
| title | 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_short | Speaker identification based on hybrid feature extraction techniques |
| title_sort | speaker identification based on hybrid feature extraction techniques |
| topic | T Technology (General) |
| 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 |