[Kaldi-users] Adapting LibriSpeech model to Blizzard2013 corpus

[Mate A. <ele...@gm...>]

l am going to train a deep neural net model with "multi-splice" using the
LibriSpeech dataset with the local/online/run_nnet2_ms.sh
<https://goo.gl/72A2Zx> script included in Kaldi's repository, which I
think will give the best resulting WER. The end goal is to use the trained
model in this phase for initializing a next model to train and do forced
alignment on Blizzard2013
<http://www.synsig.org/images/b/b1/Blizzard2013.pdf> dataset, specifically
the 2013-EH2 subset including 1 female speaker, 19 hours of speech and
sentence-level alignments.
I don't have much of experience with Kaldi and my questions are:

1. How long does it take to train on all (960hrs) of Librispeech on a GPU
(say GTX TITAN X or K6000)? Even a rough estimate could be useful.
2. Is there anything to take into account before training on Librispeech?
3. And more importantly, how should I initialize/train the next model for
the Blizzard2013 dataset? I managed to go through data preparation for that
and created the necessary files.