A tiny correction in data augmentation

[DNNlearning]

Hi. Thank you all for this amazing work and sharing it with us. I was going through your code to understand how you're doing data augmentation, specifically channel swapping, and I noticed something different in the code. I think the two "elif" conditions at line 582 and line 591 in the "apply()" method in "class GccRandomSwapChannelMic" definition in "utilities/transforms.py" should be both "if" conditions instead, since I think you want to apply three channel swapping methods independently with %50 probability. Thoughts?