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andi611 avatar andi611 commented on July 24, 2024

There is no exact value, it largely depends on the feature (or preprocessing setting) you used.

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apoca909 avatar apoca909 commented on July 24, 2024

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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andi611 avatar andi611 commented on July 24, 2024

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.

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apoca909 avatar apoca909 commented on July 24, 2024

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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