Comments (4)
There is no exact value, it largely depends on the feature (or preprocessing setting) you used.
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There is no exact value, it largely depends on the feature (or preprocessing setting) you used.
I use the default args setting in extract_feature func.
feature='fbank',
delta=False,
delta_delta=False,
cmvn=True
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For fbank, it should be within the range of 0.85~0.95.
Don't worry too much about the L1Loss value.
FYI, we recommend you pre-train with our latest feature: on-the-fly preprocessing.
This omits data preprocessing beforehand, and the trained model will have a built-in preprocessor that can take wave as input.
from s3prl.
For fbank, it should be within the range of 0.85~0.95.
Don't worry too much about the L1Loss value.FYI, we recommend you pre-train with our latest feature: on-the-fly preprocessing.
This omits data preprocessing beforehand, and the trained model will have a built-in preprocessor that can take wave as input.
very much thx.
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