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- from typing import Optional
- from typing import Tuple
- import torch
- class AbsSpecAug(torch.nn.Module):
- """Abstract class for the augmentation of spectrogram
- The process-flow:
- Frontend -> SpecAug -> Normalization -> Encoder -> Decoder
- """
- def forward(
- self, x: torch.Tensor, x_lengths: torch.Tensor = None
- ) -> Tuple[torch.Tensor, Optional[torch.Tensor]]:
- raise NotImplementedError
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