Re: [Kaldi-users] Adapting LibriSpeech model to Blizzard2013 corpus

[Jan T. <jt...@gm...>]

I cannot comment on your question, but you could possibly download the
libriSpeech model from kaldi-asr.org (so that you could directly proceed
with adaptation).
y.

On Thu, Jun 25, 2015 at 11:09 AM, Mate Andre <ele...@gm...> wrote:

> 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.
>
>
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