[Kaldi-developers] missing feature, computation of Gconst

[Mirko H. <mir...@go...>]

Hi!

I was trying to use F0 (first harmony tone) features to append them to
the MFCC/PLP features,
and I realized, that when computing the F0 frequency,
the algorithm needs to output a value for "missing feature" in regions,
which do not correspond to vowels (do not have periodic excitation) -
in my case "-1" was used.
The resulting features are not very nice for the gaussian model, and
when using gmm-init-model,
it crashed the computation of Gconst, I think because of the zero
variance in regions with only "-1".
Also the CMN/CVN normalization does not make a lot of sense, when a
lot of "-1" are present in the signal.
Is there already anything in Kaldi, that can be done about it?
Should we introduce a "missing feature" value, which prevents those
frames from being used when computing means and variances?

Greetings,
Mirko