Re: [Kaldi-developers] GMM based model statistics

[Daniel P. <dp...@gm...>]

If you have only 1 hour of data, you will have to modify the arguments
to the triphone-training script, i.e. the number of tree leaves and
number of Gaussians should be reduced.
Dan


On Tue, Oct 29, 2013 at 11:37 AM, Arif Khan <ife...@gm...> wrote:
> Thanks Daniel for you quick answer.
>
> I have another question. I train a model using the WSJ S1 and S5 recipe, and
> got good results on monophone system than triphone. I have about 1000
> utterances, with length of ~1 hr, and about 300 vocabulary size.
>
> In theory,  the triphone system should perform better than monophone. So I
> don't know if something is wrong in the tree construction or any thing else
> could be fixed.
>
> Best regards,
> Arif
>
>
> On Tue, Oct 29, 2013 at 4:17 PM, Daniel Povey <dp...@gm...> wrote:
>>
>> Sorry, there is no code per se to get those kind of stats, but you
>> could perhaps convert the alignments into phone sequences and get the
>> stats by hand (see ali-to-phones).
>>
>> Regarding the tree construction process, there is probably some
>> documentation on kaldi.sf.net; if there is a particular aspect of that
>> that is unclear, please let us know; but  otherwise, I doubt anyone
>> has time to respond to your question right now.
>>
>> Dan
>>
>>
>> On Tue, Oct 29, 2013 at 10:42 AM, Arif Khan <ife...@gm...> wrote:
>> > Dear Kaldi authors,
>> >
>> > I want to do some analysis of the training data. Basically I want to
>> > find
>> > out the number of phones (mono phone and tri phone) that appeared in the
>> > training set. (relative frequency). Is there any module/script available
>> > for
>> > it.
>> >
>> > Also, I want to find out the tree construction process. I know the
>> > basics
>> > from wsj/s5 recipe. But, some more details will be helpful.
>> >
>> >
>> > Best regards,
>> > Arif
>> >
>> >
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