spatial augmentation on generated soundscapes #47
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1. formatting core.py 2. add basic ScaperAug class 3. add functions to do augmentation 4. add channel swapping method 5. tested channel swapping method
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| def tf_masking(self, data, fs, label): | ||
| pass |
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You can use Pytorch's built-in TimeMasking and FrequencyMasking transforms to make completing the tf_masking() method easier
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This PR points at Issue #40:
add another class to do spatial augmentations: channel swapping, random time frequency masking, time domain remixing, and soundscape rotation. See method details in https://arxiv.org/abs/2101.02919