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@ -34,7 +34,7 @@ We use [black](https://black.readthedocs.io/en/stable/) and [flake8](https://fla
## Testing ## Testing
We adopt unit testing using [pytest](https://docs.pytest.org/en/latest/contents.html) We adopt unit testing using [pyest](https://docs.pytest.org/en/latest/contents.html)
Please make sure that adding your new component does not decrease test coverage. Please make sure that adding your new component does not decrease test coverage.
## Other tools ## Other tools

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@ -2,10 +2,11 @@
<img src="https://user-images.githubusercontent.com/25312635/195514652-e4526cd1-1177-48e9-a80d-c8bfdb95d35f.png" /> <img src="https://user-images.githubusercontent.com/25312635/195514652-e4526cd1-1177-48e9-a80d-c8bfdb95d35f.png" />
</p> </p>
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mayavoz is a Pytorch-based opensource toolkit for speech enhancement. It is designed to save time for audio practioners & researchers. It provides easy to use pretrained speech enhancement models and facilitates highly customisable model training. mayavoz is a Pytorch-based opensource toolkit for speech enhancement. It is designed to save time for audio practioners & researchers. It provides easy to use pretrained speech enhancement models and facilitates highly customisable model training.

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@ -129,7 +129,7 @@ class ComplexConvTranspose2d(nn.Module):
imag_real = self.real_conv(imag) imag_real = self.real_conv(imag)
real = real_real - imag_imag real = real_real - imag_imag
imag = real_imag + imag_real imag = real_imag - imag_real
out = torch.cat([real, imag], 1) out = torch.cat([real, imag], 1)