Not enough data to create a plot.
Try a different view from the menu above.
Cohen, Michael
Connectionist Optimisation of Tied Mixture Hidden Markov Models
Renals, Steve, Morgan, Nelson, Bourlard, Hervé, Franco, Horacio, Cohen, Michael
Horacio Franco Michael Cohen SRI International Menlo Park CA 94025 USA Issues relating to the estimation of hidden Markov model (HMM) local probabilities are discussed. In particular we note the isomorphism of radial basisfunctions (RBF) networks to tied mixture density modellingj additionally we highlight the differences between these methods arising from the different training criteria employed. We present a method in which connectionist training can be modified to resolve these differences and discuss some preliminary experiments. Finally, we discuss some outstanding problemswith discriminative training.