LEARNING VECTOR QUANTIZATION FOR ADAPTED GAUSSIAN MIXTURE MODELS IN AUTOMATIC SPEAKER IDENTIFICATION
Speaker Identification (SI) aims at automatically identifying an individual by extracting and processing information from his/her voice. Speaker voice is a robust a biometric modality that has a strong impact in several application areas. In this study, a new combination learning scheme has been pro...
Main Authors: | IMEN TRABELSI, MED SALIM BOUHLEL |
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Format: | Article |
Language: | English |
Published: |
Taylor's University
2017-05-01
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Series: | Journal of Engineering Science and Technology |
Subjects: | |
Online Access: | http://jestec.taylors.edu.my/Vol%2012%20issue%205%20May%202017/12_5_1.pdf |
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