espnet2.layers.global_mvn.GlobalMVN

source

class espnet2.layers.global_mvn.GlobalMVN(stats_file: Path | str, norm_means: bool = True, norm_vars: bool = True, eps: float = 1e-20)

Bases: AbsNormalize, InversibleInterface

Apply global mean and variance normalization

TODO(kamo): Make this class portable somehow

• Parameters:
  • stats_file – npy file
  • norm_means – Apply mean normalization
  • norm_vars – Apply var normalization
  • eps

Initializes internal Module state, shared by both nn.Module and ScriptModule.

extra_repr()

Set the extra representation of the module

To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line strings are acceptable.

forward(x: Tensor, ilens: Tensor | None = None) → Tuple[Tensor, Tensor]

Forward function

• Parameters:
  • x – (B, L, …)
  • ilens – (B,)

inverse(x: Tensor, ilens: Tensor | None = None) → Tuple[Tensor, Tensor]