[hts-users:01376] questions about Tree-Based State Tying

[paminy <paminy@xxxxxxx>]

Hi,everyone
paper "Tree-based State Tying for High Accuracy Acoustic Modeling"  said that " Let S be a set of HMM states and let L(S) be the log likelihood of S generating the set of training frames F under the assumping that all states in S are tied i.e.they share common mean and variance and that transition probabilities can be ignored."
I did not understand the sentence "they share common mean and variance",how dose it means.

Regards!

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