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...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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Subjects: | |
Online Access: | 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 |
Summary: | 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. |
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