Open Tom2096 opened 2 days ago
Note that the model works well in python keras with stateful=True. The input to the above screenshot is one of the noised audio samples from the training dataset, and is preprocessed with the same methods listed in the repo.
Hi,
I have been following the examples in RNN-Denoise. However, when testing the quantized model, I noticed that the quantized output tends very fast towards zero:
Resetting the states of each RNN layer after each prediction makes the output more reasonable but does not give good noise reduction result:
Is there something I am missing? Note that the model used is the one provided in the repo and rest of the code is identical to the examples in RNN-Denoise. Thanks!