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We study the optimality properties of maximum likelihood ratio estimation based Mean Field (Nash Certainty Equivalence) control laws in a leader-follower stochastic collective dynamics model. In this formulation the leaders track a convex combination of their centroid together with a certain reference trajectory which is unknown to the followers, and each follower reacts by tracking the centroid of...
The stochastic segment model (SSM) has been shown to be a competitive alternative to the hidden Markov model (HMM). In this paper, we extend the theory of Maximum Likelihood Linear Regression adaptation (MLLR), which is widely used in HMM-based system, to the stochastic segment model, and derive the SSM-based MLLR adaptation method. Continuous speech recognition experiment using the SSM-based MLLR...
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