dansuh17 segan-pytorch issues

dansuh17 / segan-pytorch

SEGAN pytorch implementation https://arxiv.org/abs/1703.09452

GNU General Public License v3.0

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issues

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D loss is very low but G loss is very high

#32 XCYu-0903 opened 3 years ago
1
Results

#31 santhan71 opened 4 years ago
0
the generated audio are nothing

#30 hujinsen opened 5 years ago
3
How to compute the SSNR and other evaluation parameters

#29 LemonLee0101 opened 5 years ago
0
Improving other noisy data instead of Voice bank

#28 asadullah797 opened 5 years ago
3
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 1.

#27 haoxiangsnr closed 4 years ago
2
[#24] Add clean / noisy examples on tensorboard

#26 dansuh17 closed 5 years ago
0
Develop

#25 dansuh17 closed 5 years ago
0
log more info in tensorboard

#24 dansuh17 closed 5 years ago
1
tensorboard audio logging error

#23 dansuh17 closed 5 years ago
1
Use .to() API

#22 dansuh17 closed 5 years ago
0
Cleanup with path naming constants.

#21 dansuh17 closed 5 years ago
0
Fixed broken de-emphasis.

#20 dansuh17 closed 5 years ago
0
OSError: [Errno 5] Input/output error

#19 571946808 closed 4 years ago
4
why your test data is in your train batch

#18 ScarfBoy0903 closed 5 years ago
1
de_emphasis function is broken

#17 alessandrobessi closed 5 years ago
8
Train result is not consistent with the original paper

#16 xinkez closed 4 years ago
1
Script to generate audio

#15 arijit17 opened 6 years ago
2
Save the Optimizer

#14 ahmed-fau closed 5 years ago
3
Add example audio files.

#13 dansuh17 opened 6 years ago
0
[#5] use tensorboard for vizualization

#12 dansuh17 closed 6 years ago
0
how to predict

#11 mechi33 opened 6 years ago
3
[#9] Reflect changes of pytorch v0.4

#10 dansuh17 closed 6 years ago
0
Update the script to work with pytorch v0.4

#9 dansuh17 closed 6 years ago
1
Remove unused directory information in model.py

#8 dansuh17 closed 6 years ago
0
RuntimeError: tensors are on different GPUs

#7 arijit17 closed 6 years ago
0
Discriminator Sigmoid layer

#6 ahmed-fau closed 6 years ago
5
use tensorboard for viz

#5 dansuh17 closed 6 years ago
1
Vbnorm revive

#4 dansuh17 closed 6 years ago
0
The output of discriminator is [1 x 8]?

#3 simpleoier closed 6 years ago
4
Define conditional losses.

#2 dansuh17 closed 6 years ago
1
Implement and use virtual batch norm instead of regular batch norm.

#1 dansuh17 closed 6 years ago
1