Comments (5)
Did you delete your vocab file and have it automatically regenerated?
What kind of GPU do you have? 8 samps/s is fairly fast. That's a ~50x speedup compared to realtime (seconds per second).
from kur.
Thanks for quick reply...
I am using Nvidia Tesla P100 GPU.
I am not able to locate vocab file. Are you talking about alphabet file named vocab.py or the two .txt books pride and prejudice and Shakespear?
from kur.
Is this for the speech example or the language model example?
If it's for the speech example, then there is a vocab.json file that is automatically generated upon first training it. If you change anything around (like which input data you use) then you'll need to regenerate that vocab file (it's as simple as deleting it and letting it be regenerated on the next 'train').
from kur.
I am working on speech example(speech recognition). Yesterday i run the code with my own dataset. I got ( Truth: " sgd o ' b b ' b o ' b o ' g'h m' gh ") this result while my truths are a proper sentence(Hindi-English mixed written in roman). It should fetch proper sentences (text) given in train.jsonl as truth.
So, i am not able to figure out why this happens.
As you told, to delete vocab.json but i am unable to find (locate) this file in whole kur directory.
could you please give me the exact path of this file.
from kur.
The vocab.json gets dumped in the current working directory when running kur train speech.yml
.
from kur.
Related Issues (20)
- Weights are not getting saved. HOT 2
- Validation loss diverging in speech example HOT 1
- add support for mxnet
- How to get text output from evaluate.pkl file ? HOT 1
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- AttributeError: module 'keras.backend' has no attribute 'set_image_dim_ordering' HOT 1
- RuntimeError: generator raised StopIteration HOT 6
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- Training for speech recognition using KUR on a distributed system. Is it possible? HOT 1
- CUDA_ERROR_NO_DEVICE HOT 1
- Import Voxforge to Kur HOT 1
- speech.yml prediction is empty HOT 2
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- The speed of training gradually decreases when using gpu HOT 4
- Training a dataset with non-latin characters HOT 1
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