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adobe-research
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MetaAF
Control adaptive filters with neural networks.
https://jmcasebeer.github.io/projects/metaaf
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Tracking frequencies
#22
federicopiol
opened
5 days ago
0
The replicate results don't match the demo.
#21
quizt35
opened
2 months ago
3
with retrieved shape (4, 32) does not match shape=[5, 32] dtype=dtype('complex64')
#20
aleksandra-bebe
closed
5 months ago
5
Compatibility with x64 CPU
#19
Toplica001
closed
7 months ago
2
Why not use nearend speech s to be the target ?
#18
xiaoqi91
closed
7 months ago
2
Inference question
#17
amr-lopezjos
closed
8 months ago
1
Fix higher-order naming
#16
jmcasebeer
closed
9 months ago
0
I've got a few ideas.
#15
lvyuhhh
closed
8 months ago
3
This module was my last hurdle, I searched for a long time without finding it, and when I ran core.py.
#14
kesss124
closed
8 months ago
1
some module l can't find ,help me
#13
kesss124
closed
10 months ago
2
Update HO AEC refactor branch
#12
jmcasebeer
closed
1 year ago
0
You must pass a non-None PRNGKey to init and/or apply if you make use of random numbers when running hoaec_eval.py
#11
apra-da
closed
7 months ago
1
when running system.infer in AEC task, shows ValueError: 'TimeChanCoupledGRU ...'
#10
DeboBurro
closed
1 year ago
3
rir_idx index out of range
#9
DeboBurro
closed
1 year ago
7
Update pre-trained weights link
#8
jmcasebeer
closed
1 year ago
0
TASL revision updates
#7
jmcasebeer
closed
1 year ago
0
Updates for TASL revisions and IWAENC paper
#6
jmcasebeer
closed
1 year ago
1
AEC Data Setup Issues
#5
jmcasebeer
closed
1 year ago
9
Could not get the same AEC results shown on the demo page with the provided pretrained models
#4
fjiang9
closed
2 years ago
8
About the pre-trained models.
#3
echocatzh
closed
2 years ago
1
adding CPU instructions and pinning jax and haiku
#2
njb
closed
2 years ago
0
Second review
#1
njb
closed
2 years ago
0