Comments (1)
Have you tried training with the audiotfilm model? It's better than the audiounet one. (That said, SNR should increase during training regardless of which model you use.)
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Related Issues (20)
- ValueError: Shapes (4, 128, 128) and () are incompatible HOT 19
- LSTM kernel not compatible with cuDNN and GPU utilization is low HOT 1
- pool_size and strides question HOT 2
- tensorflow.python.framework.errors_impl.InvalidArgumentError: All dimensions except 2 must match. Input 1 has shape [128 32 512] and doesn't match input 0 with shape [128 16 512] HOT 6
- Colab? HOT 3
- Reproducing results for multispeaker model HOT 7
- Memory is not enough HOT 4
- Where can the output be found? HOT 2
- Is the RNN model publicly available? HOT 1
- Error at audiofilm.py: ValueError: Unexpectedly found an instance of type `<class 'tensorflow.python.framework.ops.Tensor'>`. Expected a symbolic tensor instance. HOT 6
- is there any way to get this working on a google colab? HOT 1
- OSError: File ./singlespeaker.lr0.000300.1.g4.b16/model.ckpt-209.data-00000-of-00001.meta does not exist. HOT 1
- makefile error HOT 1
- makefile error in speaker1 HOT 1
- Can this be used to actually upsample a low sample audio? HOT 2
- Installation is hard for average user. HOT 3
- ImportError: cannot import name 'merge' from 'keras.layers' HOT 1
- Create Conda Environment for Simple Installation
- Unclear instructions with pretrained model HOT 1
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