Re: [Kaldi-users] Kaldi-GMM model

[Vesely K. <ive...@fi...>]

Hi,
maybe Dans' answer would be more accurate, still I'll try to answer.

I believe there is no reliable conversion tool to resave kaldi models as 
HTK models.
When designing kaldi, we chose not to take into account HTK compatibility,
as it gave us more freedom to design the code.

In kaldi, the transition probabilities are stored in the "TransitionModel",
not in the form of matrix, but in a form of a vector, where each 
transition-id
has corresponding transition-weight.

Best,
Karel.


On 03/13/2014 09:22 AM, dophist wrote:
> Hi,
>
> Recently, I have tried to train GMM model in Kaldi, and provide this 
> GMM model to a HTK-compatible decoder, there is a significant 
> inconsistency that I couldn't find a reasonable explanation, the 
> problem is:
>
> GMM models trained in Kaldi work pretty well in Kaldi decoder, as 
> expected.  However, these Kaldi-GMM models work quite poor in a 
> HTK-model-compatible decoder (WER is 14% absolute worse, than in Kaldi 
> decoder).
>
> Transition prob is not a factor because I didn't even use the 
> transition probabilities in Kaldi model.
>
> Put aside transitions, GMM parameters in Kaldi GMM model should be 
> working as well in other decoder, but it is not in my case.  Is there 
> any factor that makes Kaldi GMM models only work in Kaldi decoder?
>
> regards,
> Jiayu
>
>
>
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