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US08234116B2 Calculating cost measures between HMM acoustic models 有权
计算HMM声学模型之间的成本测量

Calculating cost measures between HMM acoustic models
Abstract:
Measurement of Kullback-Leibler Divergence (KLD) between hidden Markov models (HMM) of acoustic units utilizes an unscented transform to approximate KLD between Gaussian mixtures. Dynamic programming equalizes the number of states between HMMs having a different number of states, while the total KLD of the HMMs is obtained by summing individual KLDs calculated by state pair by state pair comparisons.
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