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Audio-WestlakeU
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FullSubNet
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
https://fullsubnet.readthedocs.io/en/latest/
MIT License
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Not an issue, but I wanted to show you some impressive results...
#21
sjscotti
closed
3 years ago
2
reverberat data
#20
victorVoice
closed
3 years ago
1
Hi, if I want to achieve the real-time speech enhance by pre-trained model, do you have any detailed suggestions? Thanks
#19
ghost
closed
2 years ago
1
关于训练时长
#18
phenex986
closed
3 years ago
2
The batch size for the validation stage must be one
#17
zc1616
closed
3 years ago
2
Will there be a 44.1 or 48kHz pre-trained model released?
#16
youssefavx
closed
3 years ago
8
[audio_zen, recipes] keep directory structure
#15
keonlee9420
opened
3 years ago
0
您好，请教下关于overlapped_chunk()函数
#14
ghost
closed
3 years ago
1
Difficulties with getting demos
#13
VladAndronik
opened
3 years ago
0
How to Use Pretrained, pickled model in Releases with No Documentation?
#12
uwstudent123
closed
3 years ago
3
when is it appropriate to use_mag_phase=True
#11
LearnedVector
opened
3 years ago
1
questions about rir_dataset in fullband_train.toml
#10
realkris
closed
3 years ago
1
How to use Pretrained models
#9
ahmedbahaaeldin
closed
3 years ago
1
Training and Preprocessing related
#8
yugeshav
opened
3 years ago
4
Does the Pretrained Model available in releases folder works with 48k sampling rate?
#7
yugeshav
opened
3 years ago
14
Update fullsubnet_fullband_baseline.md
#6
vvasily
closed
3 years ago
0
Questions about the training process
#5
ahikaml
closed
3 years ago
2
Delayed Sub-Band LSTM
#4
shishichang
closed
3 years ago
2
Any plans about releasing the pretrained models？
#3
121898
closed
3 years ago
3
Update fullband_train.toml
#2
200987299
closed
3 years ago
0
adding fullband_train mode
#1
200987299
closed
3 years ago
0
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