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

[Xavier A. <xan...@gm...>]

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