Re: [Kaldi-developers] Initializing DiagGmm models

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

That's interesting.

In the past I've done this type of thing by clustering Gaussians of a
speech-reco system, but if you want to start from scratch, you could write
a program called gmm-global-init that would initialize a model, say  with a
single Gaussian, and train it, maybe on a small amount of data at first,
and keep mixing up.  The program gmm-global-est has an option to mix up the
#Gaussians.

Dan

On Sun, Aug 19, 2012 at 12:10 PM, Xavier Anguera <xan...@gm...> wrote:

> Hi again,
> I am now trying to train some models given my extracted features. I
> want to use these models for speaker-ID experiments. For this reason I
> was looking for some simple method to initialize the models given some
> training data (something like std-perturbed Gaussian splitting, or
> K-means equivalents) but I do not find anything straightforward in the
> main code or the examples.
> Does anyone have an example I can work with, or any suggestion on how
> to implement it?
>
> Thanks
>
> Xavier Anguera
>
>
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