Closed kentsommer closed 7 years ago
Got it working!
After adding a few extra punctuation strips to the conversion script it is training and validating perfectly :+1:
Note to anyone that wants to train on the TIMIT dataset:
Cheers :beer:
Awesome! Thanks for sharing your work with us. We need to add better error messages related to the vocabulary.
@kentsommer Could you share what results you've got on TIMIT? Like final validation loss and maybe a couple of predictions? TIMIT is rather small (5.4 hours with only 3.14 hours in train set), so I wonder how well it would generalize.
@akademi4eg
I can do a full train if you would like and post the results. I ended up stopping it since the validation loss stayed pretty high while the training loss dropped like a rock indicating some pretty horrible overfitting. I'm fairly certain the TIMIT dataset is simply much too small for the DS model.
@kentsommer Yeah, I think you are right, TIMIT is too small. No need to do a full train. :)
Hey guys,
Super new to kur (like literally looked at it for the first time today), so perhaps I'm missing something simple but here is my issue:
I've created a conversion script for the TIMIT dataset to get the dataset to match what kur is expecting: https://github.com/kentsommer/TIMIT-to-Kur/blob/master/to_kur_dataset.py
The jsonl file with the labels and everything which (along with the audio folder) is returned by running the above script on the TIMIT dataset can be found here: https://github.com/kentsommer/TIMIT-to-Kur/releases/download/v0.1/timit_train.jsonl
However, after trying to run
$ kur train speech.yml
, I get the following (note training on the standard lsc100 works fine):Any ideas?