Add DCCRN separator

[Johnson-Lsx]

Add espnet2/enh/layers/complexnn.py and espnet2/enh/separator/dccrn_separator.py and modified espnet2/tasks/enh.py to implement DCCRN separator, add a configuration file of dccrn for egs2/dns_ins20.

[Emrys365]

Thanks! Could you add a unit test for DCCRN in test/espnet2/enh? e.g. test/espnet2/enh/test_espnet_model.py and test/espnet2/enh/separator

[codecov]

Codecov Report

Merging #4097 (f587f4d) into master (812ab14) will decrease coverage by 0.50%.
The diff coverage is 90.10%.

@@            Coverage Diff             @@
##           master    #4097      +/-   ##
==========================================
- Coverage   80.94%   80.43%   -0.51%     
==========================================
  Files         435      442       +7     
  Lines       37651    38557     +906     
==========================================
+ Hits        30477    31015     +538     
- Misses       7174     7542     +368     

Flag	Coverage Δ
test_integration_espnet1	67.13% <ø> (ø)
test_integration_espnet2	51.14% <12.56%> (-0.94%)	⬇️
test_python	66.51% <90.10%> (-0.18%)	⬇️
test_utils	24.45% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
espnet2/enh/layers/complexnn.py	84.58% <84.58%> (ø)
espnet2/enh/separator/dccrn_separator.py	100.00% <100.00%> (ø)
espnet2/tasks/enh.py	99.07% <100.00%> (+0.01%)	⬆️
espnet2/enh/layers/tcn.py	95.90% <0.00%> (-0.37%)	⬇️
espnet2/enh/layers/dprnn.py	100.00% <0.00%> (ø)
espnet2/bin/mt_train.py	0.00% <0.00%> (ø)
espnet2/enh/separator/skim_separator.py	97.05% <0.00%> (ø)
espnet2/tasks/mt.py	0.00% <0.00%> (ø)
espnet2/enh/layers/skim.py	99.17% <0.00%> (ø)
espnet2/bin/mt_inference.py	0.00% <0.00%> (ø)
... and 4 more

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[sw005320]

Many thanks!
This is a great job!
I have some minor comments.

Also, you may need to merge the latest PR to pass the CI.

[sw005320]

I missed this function.
This is really cool!
Please add the description about dccrn and this new function in https://github.com/espnet/espnet#se-speech-enhancement-and-separation

[Johnson-Lsx]

I have added the DCCRN and the link of the original paper in the README

[sw005320]

Can you upload a model to the HF hub and add a link here?

[Johnson-Lsx]

Ok, I have uploaded the model to the HF hub, and the link is https://huggingface.co/Johnson-Lsx/Shaoxiong_Lin_dns_ins20_enh_enh_train_enh_dccrn_raw

[sw005320]

Thanks a lot!!!