Calculating cost measures between HMM acoustic models
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United States of America Patent
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Jul 31, 2012
Grant Date -
Mar 6, 2008
app pub date -
Aug 22, 2006
filing date -
Aug 22, 2006
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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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