Re: [Kaldi-developers] obtaining 0'os when computing posteriorgrams

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

Firstly, this should give you numerical problems but not a segmentation
fault.
You'll have to look in the code and see if it's behaving as expected.  E.g.
is it due to a number so small that it cannot be represented in floating
point, or is it larger than that and unexpectedly becoming zero?
It might be an issue with your algorithm design.
Let me know if that function needs to be fixed.

Dan


On Mon, Apr 8, 2013 at 2:54 PM, Xavier Anguera <xan...@gm...> wrote:

> Hi,
> when using the function template<typename Real> Real
> VectorBase<Real>::ApplySoftMax() in kaldi-vector.cc file, I noticed that
> very small likelihoods are rounded to a posterior probability of 0.0
> Is this an expected behavior? I am trying to perform an EM training of a
> simple GMM and I keep bumping into segmentation fault due to this.
>
> Thanks
>
> Xavi Anguera
>
>
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