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: | , |
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| Format: | Article |
| Language: | English |
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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 |