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etzinis
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sudo_rm_rf
Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.
MIT License
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Bump scipy from 1.4.1 to 1.10.0
#25
dependabot[bot]
opened
1 year ago
0
Bump torch from 1.3.0 to 1.13.1
#24
dependabot[bot]
opened
1 year ago
0
Causal sudo rm rf model
#23
maldivesxue
closed
1 year ago
3
'SuDORMRF' object has no attribute 'n_least_samples_req' Error
#22
RyderZ-Neo
closed
1 year ago
2
Can i train the data of 48k??
#21
panhu
closed
1 year ago
1
Bump joblib from 0.13.2 to 1.2.0
#20
dependabot[bot]
opened
2 years ago
0
Specific instructions please..
#19
joeoct93
closed
2 years ago
1
Bump numpy from 1.17.2 to 1.22.0
#18
dependabot[bot]
opened
2 years ago
0
Didn't get the result I wanted.
#17
afterimagex
closed
2 years ago
1
Saving the model
#16
under-funk
closed
2 years ago
2
Seperation audio reversed in assignment
#15
under-funk
closed
2 years ago
3
Activation function in UBlock
#14
hsiaohan0827
closed
2 years ago
1
Notebooks: sudormrf_extract_sep_perf_metrics_example.ipynb
#13
ONEISALL-h
closed
2 years ago
5
why so many noise?
#12
AIHHU
closed
2 years ago
14
Links download pre-trained models down
#11
playdasegunda
closed
2 years ago
1
Problem in inference
#10
playdasegunda
closed
2 years ago
3
Add audio samples
#9
JRMeyer
opened
2 years ago
1
Different batchsize settings lead to different results
#8
guggugg
closed
2 years ago
3
global layer normalization
#7
fjiang9
closed
3 years ago
2
Few questions
#6
q121q
closed
2 years ago
2
Separation of music and speech
#5
0xBEEEF
closed
4 years ago
1
Provide a trained model and easy Anaconda integration
#4
0xBEEEF
closed
2 years ago
2
GFLOPs of models is different
#3
weimisa341
closed
4 years ago
2
Obtained results of SI-SNRi=18.9?
#2
JusperLee
closed
4 years ago
27
loss is nan
#1
weimisa341
closed
4 years ago
2