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Enhancement of GMM speaker identification performance using complementary feature sets
L. Lerato
,
Daniel J. Mashao
University of Cape Town
Research output
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peer-review
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Keyphrases
Complementary Features
100%
Identification Performance
100%
Speaker Model
66%
List Method
33%
Linear Prediction Cepstral Coefficients
33%
N-best List
33%
Identification Process
33%
Computer Science
Gaussian Mixture Model
100%
Speaker Identification
100%
Identification Process
25%
Final Identification
25%
Performance Improvement
25%
Cepstral Coefficient
25%
Engineering
Gaussian Mixture Model
100%
Speaker Identification
100%
Performance Improvement
25%
Mathematics
Gaussian Mixture Model
100%
Linear Prediction
50%
Cepstral Coefficient
50%