Re: [Kaldi-users] LibriSpeech nnet2 model: training more on a new dataset

[Vijayaditya P. <p.v...@gm...>]

You need to provide the egs directory, not exp directory. You can check
stage -3 of steps/nnet2/train_multisplice_accel2.sh to see how egs
directory can be created from the alignment and data directories.
The context variables necessary for creating these examples can be found in
nnet_ms_a_online/conf/splice.conf file.

Vijay

On Mon, Jun 29, 2015 at 9:14 AM, Jonathan L <jon...@gm...>
wrote:

> The train_more*.sh scripts accept an 'exp' directory instead of a
> 'data/train' directory. Is there another script that would accept the
> 'data/train' directory as input instead?
>
> On Mon, Jun 29, 2015 at 12:08 PM, Vijayaditya Peddinti <
> p.v...@gm...> wrote:
>
>> See the scripts steps/nnet2/train_more*.sh
>>
>> Vijay
>>
>> On Mon, Jun 29, 2015 at 9:02 AM, Jonathan L <jon...@gm...>
>> wrote:
>>
>>> I'm looking to further train an existing LibriSpeech nnet2_a_online
>>> model on a new dataset.
>>>
>>> I have prepared the files for this new dataset inside a data/train
>>> directory, as described in the *Data Preparation *tutorial. I want to
>>> keep the nnet2_a_online model initialized to the parameters it learned from
>>> training on LibriSpeech, but continue its training on this new dataset. Is
>>> there a script that would allow me to specify the nnet2_a_online model and
>>> the dataset's data/train directory as input in order to output a model that
>>> has been trained more on this new dataset?
>>>
>>>
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>>
>