Speaker identification based on curvlet transform technique
Speech processing considered one of the most crucial areas of signal processing. Human speech is a natural form of communication, speech contains many information that can be used for determine the gender and identify of the person, thus we refer to biometrics technology, where speaker voice is...
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Institute of Electrical and Electronics Engineers Inc.
2018
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iium-672042018-10-30T09:08:25Z http://irep.iium.edu.my/67204/ Speaker identification based on curvlet transform technique Abualadas, Feras E. Al-Ani, Muzhir Shaban Zeki, Akram M. Messikh, Az Eddine T Technology (General) T10.5 Communication of technical information Speech processing considered one of the most crucial areas of signal processing. Human speech is a natural form of communication, speech contains many information that can be used for determine the gender and identify of the person, thus we refer to biometrics technology, where speaker voice is considered one of the biometrics can be used for distinguished purpose. This paper presented simple speaker identification approach based on curvelet transform as a feature extraction technique and Backpropagation neural network BP NN as a classifier. Institute of Electrical and Electronics Engineers Inc. 2018-03-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67204/1/67204_Speaker%20identification%20based%20on%20curvlet%20transform_combine_complete.pdf application/pdf en http://irep.iium.edu.my/67204/2/67204_Speaker%20identification%20based%20on%20curvlet%20transform_scopus.pdf Abualadas, Feras E. and Al-Ani, Muzhir Shaban and Zeki, Akram M. and Messikh, Az Eddine (2018) Speaker identification based on curvlet transform technique. In: 3rd International Conference on Computing, Engineering, and Design, ICCED 2017, 23 - 25 November 2017, International Islamic University Malaysia, Gombak, Kuala Lumpur. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308091 10.1109/CED.2017.8308091 |
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English English |
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T Technology (General) T10.5 Communication of technical information |
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T Technology (General) T10.5 Communication of technical information Abualadas, Feras E. Al-Ani, Muzhir Shaban Zeki, Akram M. Messikh, Az Eddine Speaker identification based on curvlet transform technique |
description |
Speech processing considered one of the most
crucial areas of signal processing. Human speech is a natural
form of communication, speech contains many information that
can be used for determine the gender and identify of the person,
thus we refer to biometrics technology, where speaker voice is
considered one of the biometrics can be used for distinguished
purpose. This paper presented simple speaker identification
approach based on curvelet transform as a feature extraction
technique and Backpropagation neural network BP NN as a
classifier. |
format |
Conference or Workshop Item |
author |
Abualadas, Feras E. Al-Ani, Muzhir Shaban Zeki, Akram M. Messikh, Az Eddine |
author_facet |
Abualadas, Feras E. Al-Ani, Muzhir Shaban Zeki, Akram M. Messikh, Az Eddine |
author_sort |
Abualadas, Feras E. |
title |
Speaker identification based on curvlet transform technique |
title_short |
Speaker identification based on curvlet transform technique |
title_full |
Speaker identification based on curvlet transform technique |
title_fullStr |
Speaker identification based on curvlet transform technique |
title_full_unstemmed |
Speaker identification based on curvlet transform technique |
title_sort |
speaker identification based on curvlet transform technique |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2018 |
url |
http://irep.iium.edu.my/67204/ http://irep.iium.edu.my/67204/ http://irep.iium.edu.my/67204/ http://irep.iium.edu.my/67204/1/67204_Speaker%20identification%20based%20on%20curvlet%20transform_combine_complete.pdf http://irep.iium.edu.my/67204/2/67204_Speaker%20identification%20based%20on%20curvlet%20transform_scopus.pdf |
first_indexed |
2023-09-18T21:35:26Z |
last_indexed |
2023-09-18T21:35:26Z |
_version_ |
1777412788606468096 |