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

[Tony R. <to...@ca...>]

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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