[Kaldi-developers] Computing phone likelihoods in Kaldi for accent detection

[Saman M. <smo...@gm...>]

Hi everybody,
Is there any way to compute likelihood of a an  utterance,  given a model
(in gmm-hmm kaldi format ), a specific phoneme and a given utterance ?

More specifically, I need this for accent classification. I have two
acoustic models learned from American and British accents. Now given an
audio file + its transcript, I want to use Likelihood ratio test to decide
whether it is American or British accent.

I though to compute the likelihood ratio for the most discriminative
phones.  Hence after alignment in phone level I want to compute
the L(x1,...xn;Ha,PH)/L(x1,...xn;Hb,PH)
where
L is the likelihood function.
Ha and Hb are the american and British models, respectively.
PH is the phone index
x1,x2,....xn are the feature vectors of a specific phone.

In a nut shell i need a forward algorithm for HMM.

Thanks in advance
Saman