Comments (5)
Hi, @pranoot .
The 'split_type' is used for storing different part of your data like train, test, and they will be stored in save_path/data/split_type.
And I'm sorry I didn't apply the method to handle this situation, but it's not difficult to implement. I can rewrite write_file
in several days.
from speaker-recognition-papers.
Hey Thank you for the revert. Ok I'll write the script and try to implement it. Just wanted to check if I was doing anything wrong.
from speaker-recognition-papers.
Hello @pranoot , I changed the code that allow us to write dataset in several steps, now we can write a script to save different parts of dataset the datamanger will be auto reloaded ( the path in the config should be the same. ), and you can also use clear() method to delete saved file. A simple example in the deep_speaker.py
.
from speaker-recognition-papers.
If you still have questions, feel free to reopen it~
from speaker-recognition-papers.
Hii,
I am running the script and its giving me this error.
RuntimeWarning: invalid value encountered in float_scalars
return np.dot(vector1, vector2) / (np.linalg.norm(vector1) * (np.linalg.norm(vector2)))
Can you please help me withthe same?
The error is in the cosine function.
Thank you !
from speaker-recognition-papers.
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