In this paper, we present a scheme of combining multiple time-delay nets with the structure of the hierarchical mixture of experts (HME) in order to complete a multi-scale analysis for the temporal data. This method extends the technique of combining multiple classifiers based upon the same static input to sequence processing. We have already applied the proposed method to a real-world problem, ca...Show More
A modified hierarchical mixtures of experts (HME) architecture is presented for text-dependent speaker identification. A new gating network is introduced to the original HME architecture for the use of instantaneous and transitional spectral information in text-dependent speaker identification. The statistical model underlying the proposed architecture is presented and learning is treated as a max...Show More
In this paper, we explore the hierarchical mixture of experts (HME) architecture for a substantial problem, that of text-dependent speaker identification. For a specific multiway classification, we propose a generalized Bernolli density instead of the multinomial logit density. Time-delay technique is also introduced to HME for spatio-temporal processing. Using the proposed density and the time-de...Show More
