A Modified HME Architecture for Text-Dependent Speaker Identification (1996)
| Venue: | IEEE Transactions on Neural Networks |
| Citations: | 8 - 5 self |
BibTeX
@ARTICLE{Chen96amodified,
author = {Ke Chen and Dahong Xie and Huisheng Chi and Senior Member},
title = {A Modified HME Architecture for Text-Dependent Speaker Identification},
journal = {IEEE Transactions on Neural Networks},
year = {1996},
volume = {7},
pages = {1309--1313}
}
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Abstract
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 maximum likelihood problem; in particular, an Expectation-Maximization (EM) algorithm is also proposed for adjusting the parameters of the proposed architecture. An evaluation has been carried out using a database of isolated digit utterances by 10 male talkers. Experimental results demonstrate that the proposed architecture outperforms the original HME architecture in text-dependent speaker identification.
