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NVIDIA
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nv-wavenet
Reference implementation of real-time autoregressive wavenet inference
BSD 3-Clause "New" or "Revised" License
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Shud skip connection bias be only added once?
#51
Alex-X-W
opened
6 years ago
0
building pytorch wrapper
#50
therock18
closed
6 years ago
1
train with tacotron2(nvidia)
#49
viogoes
closed
6 years ago
2
How to integrate it with r9y9/Tacotron-2 ?
#48
rishikksh20
opened
6 years ago
4
Is it possible to do re-training or fine-tune in this code ?
#47
rishikksh20
closed
6 years ago
3
Any benchmark values for especially inference time?
#46
erogol
opened
6 years ago
2
Does nv-wavenet support higher mu_quantization value?
#45
nanma
opened
6 years ago
3
can't reproduce good wav
#44
azraelkuan
closed
6 years ago
2
Ability to specify f_max and f_min for mels
#43
yoks
opened
6 years ago
0
Running on arbitrary audio length
#42
jongwook
closed
6 years ago
2
Expected Performance on Geforce 10 Series GPUs?
#41
richardmcai
closed
6 years ago
3
too many blocks in cooperative launch
#40
jinserk
closed
6 years ago
2
accident
#39
will-rice
closed
6 years ago
0
Trained model generating inaudible samples
#38
ghostcow
closed
6 years ago
6
batching is broken in inference.py
#37
ghostcow
opened
6 years ago
0
Is it possible to use it without Cooperative Kernel? (regardless of performance loss) (it works)
#36
engiecat
closed
6 years ago
6
Wr dropout
#35
will-rice
closed
6 years ago
0
Error of mismatching sampling rate with tacotron2 and nv-wavenet
#34
yhgon
closed
6 years ago
8
FP16 Optimizer in pyTorch implementation
#33
yhgon
opened
6 years ago
0
Error in distributed.py: Parameter object has no attribute "_execution_engine"
#32
ghostcow
opened
6 years ago
2
Pointing submodule to public URL
#31
RPrenger
closed
6 years ago
0
For fast and higher fidelity, support double softmax
#30
PetrochukM
opened
6 years ago
4
Unable to clone tacotron2 submodule
#29
ghostcow
closed
6 years ago
2
fix error in error string
#28
pfriesch
closed
6 years ago
1
GPUAssert raised during inference at cudaLaunchCooperativeKernel() on GTX 1080 Ti
#27
sdorminey
closed
6 years ago
2
Can it be easy to support R=256, S=256, A=256 ? Even with less layers like 20.
#26
yxlijinzhu
opened
6 years ago
10
Adding code for training your own WaveNet that is ready to work with NV-WaveNet inference
#25
RPrenger
closed
6 years ago
1
Errors when building
#24
glenncameron2
closed
6 years ago
3
[REDACTED]
#23
PetrochukM
closed
6 years ago
0
Test R=256, to replicate Tacotron 2
#22
PetrochukM
opened
6 years ago
0
Support kernel size of 3, to replicate Tacotron 2
#21
PetrochukM
opened
6 years ago
0
residual layer should be one shorter
#20
zhf459
closed
6 years ago
5
Updating README to mention that the first R channels go to tanh
#19
RPrenger
closed
6 years ago
1
question about performance
#18
suntao2012
closed
6 years ago
1
Fix test
#17
PetrochukM
closed
6 years ago
1
Forgot to add batch dimension to output tensor
#16
RPrenger
closed
6 years ago
0
Fix Error Strings
#15
PetrochukM
closed
6 years ago
0
nv_wavenet_test.py fails with a larger than one batch size
#14
PetrochukM
closed
6 years ago
3
Update README.md
#13
PetrochukM
closed
6 years ago
0
GPUassert: invalid device function ../nv_wavenet_util.cuh 48
#12
PetrochukM
closed
6 years ago
2
Add .gitignroe, __init__
#11
PetrochukM
closed
6 years ago
0
Training support
#10
ghostcow
closed
6 years ago
3
global and local conditioning?
#9
shreyasnivas
closed
6 years ago
6
What are the requirements for nv-wavenet?
#8
erogol
closed
6 years ago
1
Adding PyTorch wrapper for NV-Wavenet
#7
RPrenger
closed
6 years ago
4
Fast Inference
#6
PetrochukM
closed
6 years ago
1
Compilation error for target arch sm_52
#5
sunilkgrao
closed
6 years ago
1
Problem with testing script
#4
julianzaidi
closed
6 years ago
2
The method 'namedBarrierSync'?
#3
DabiaoMa
closed
6 years ago
2
which CUDA version? GPU architectures supported？
#2
lifeiteng
closed
6 years ago
1
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