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>>> ilyes_ben_yahia |
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>>> ilyes_ben_yahia
[June 25, 2020, 10:41am]
Hello,
I am new here and I'm finetuning the trained model checkpoint
Tacotron2
from the branch 20a6ab3.
I am using the french dataset from
M-AI-Labs.
The used config file is the one that comes with teh branch 20a6ab3, I
only changed teh following :
CONFIG slash ['audio' slash ] slash ['sample_rate' slash ] = 16000 slash # to fit my dataset audio slash
CONFIG slash ['phoneme_language' slash ] = slash 'fr-fr slash # french phoneme
CONFIG slash ['prenet_type' slash ] = 'bn' [ slash #because] of my initial
checkpoint slash
CONFIG slash ['prenet_dropout' slash ] = True [ slash #because] of my initial
checkpoint
CONFIG slash ['seq_len_norm' slash ] = True slash # beacause of the different length of
the audios in my dataset . ( I think )
After 5000 steps of training I have the following results :
slash
when I test the model with french short sentence the result is
acceptable and I believe it will emprove a lot after maybe another 10
000 steps. slash
however I think it that the model have a problem with long sentences !
I would be gratefull if someone can help me answer the following
quetions :
ground truth !! slash
image slash |404x367 slash
I believe that it is causing the problem with the long sentences ,
is there any solutions ? ( I checked many simples of my data set
with CheckSpectrograms.ipynb and everything seems good there ! )
is trained on a dataset with audio of 'sample_rate': 22 050, however
my dataset's audio 'sample_rate': 16 000 , slash
Can that be a problem ?
? ( I tried to create a text file and write it's path in
'test_sentences_file' param but it did not work ) ( I need to
manually set the test sentences because I think the model is
creating english sentences not french ) ?
can effect the results to stop each 11 hours and re-train from the
last checkpoint instead of training without interruptions ?
xD ! any suggestions ?
Any other suggestions or tips are very appreciated !
thanks in advance !!
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