[hts-users:01379] Re: questions about Tree-Based State Tying

[Simon King <Simon.King@xxxxxxxx>]

paminy wrote:
> 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.

It means all the states in S use the same Gaussian PDF to generate their 
observations.

Simon

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