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

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Thanks Tony, that makes sense.

Does the train_more2.sh script implement early stopping using the
validation set created in the egs/ directory?

On Fri, Jul 3, 2015 at 3:39 PM, Tony Robinson <to...@ca...>
wrote:

> I may be missing something but I read the question as "When I convert
> the MP3 files into 16kHz sample-rate WAV files, what bitrate should I
> convert them to?"
>
> The answer is that they should be converted to 16bits per sample, 16kHz
> mono files, so that's 256,000 bits per second.  There's not a lot of
> point in using more than 16 bits per sample as the mp3 quanitisation is
> worse than this and there's not a lot of point in using less than 16bits
> per sample as why throw information away.
>
>
> Tony
>
> On 03/07/15 19:53, Daniel Povey wrote:
> > The sampling rate is critical, but the bitrate is not really critical-
> > just make sure it sounds OK without super-obvious artifacts.  Vassil
> > (cc'd) will know what bitrate he encoded the Librispeech data with,
> > but matching this exactly is probably not important.
> > Dan
> >
> >
> > On Fri, Jul 3, 2015 at 10:45 AM, Jonathan L <jon...@gm...>
> wrote:
> >> The data I want to train on is in MP3 format at a 128kbps bitrate and a
> >> 44.1kHz sample rate. The LibriSpeech data has a 16kHz sample rate, but
> >> doesn't seem to have a specified bitrate, When I convert the MP3 files
> into
> >> 16kHz sample-rate WAV files, what bitrate should I convert them to?
> >>
> >> Is there anything else I should consider when converting the speech
> files?
> >>
> >> On Mon, Jun 29, 2015 at 12:24 PM, Vijayaditya Peddinti
> >> <p.v...@gm...> wrote:
> >>> 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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> >>
> >>
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