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This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based speaker adaptation which represent sources of variability as a projection within a low dimensional subspace. A new approach to acoustic modeling in ASR, referred to as the subspace based Gaussian mixture model (SGMM), represents...
In this paper we discuss a kind of optimal control problems with restricted control variables, and the state equations of which are depicted by differential-algebraic equations(DAEs). Through analyzing characters of the optimal control model with DAE constraints, the model can be transformed into a functional extreme value problem. Then by means of the variational principle, we present necessary conditions...
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