MERGING CLASSIFIER DECISIONS FOR SPEAKER RECOGNITION
Abstract
The paper proposes using fuzzy integrals for merging classifier decisions in speaker recognition
systems. Instantaneous frequency and instantaneous amplitude are considered as the set of features. The approach shows significantly better results than a single classifier. A comparison of the proposed approach with the other methods for merging classifier decisions is provided.
About the Authors
Y. N. Imamverdiyev
Институт информационных технологий Национальной академии наук Азербайджана
Russian Federation
Russian Federation
L. V. Sukhostat
Институт информационных технологий Национальной академии наук Азербайджана
Russian Federation
Russian Federation
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Review
For citations:
Imamverdiyev Y.N., Sukhostat L.V. MERGING CLASSIFIER DECISIONS FOR SPEAKER RECOGNITION. Informatics. 2015;(1):17-25. (In Russ.)
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