A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf
.
Matrix updates for perceptron training of continuous density hidden Markov models
2009
Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automatic speech recognition use multivariate Gaussian emission densities (or mixtures thereof) parameterized in terms of their means and covariance matrices. For discriminative training of CD-HMMs, we reparameterize these Gaussian distributions in terms of positive semidefinite matrices that jointly encode their mean and
doi:10.1145/1553374.1553394
dblp:conf/icml/ChengSS09
fatcat:fy66c5mkcngw3lnfbwxmd4hkhq