Multimodal priority verification of face and speech using momentum back-propagation neural network
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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In speaker verification the world model based approach and the cohort model based approach have been used for better HMM score measurements for verification comparison. From theoretical analysis these two approaches represent two different paradigms for verification decision-making strategy. The two techniques could be combined for a better solution. In the paper we present a hybrid score measurement which combines the world model based technique and the cohort model based technique together. The method is evaluated with the YOHO database. The results show that the combination can lead a better score measurement which improves speaker verification performance. An experimental comparison between the world model based approach and the cohort model based approach with the YOHO database can also be found in the paper.