funasr/models/normalize/global_mvn.py
@@ -6,8 +6,10 @@ import torch from funasr.models.transformer.utils.nets_utils import make_pad_mask from funasr.register import tables @tables.register("normalize_classes", "GlobalMVN") class GlobalMVN(torch.nn.Module): """Apply global mean and variance normalization TODO(kamo): Make this class portable somehow @@ -111,4 +113,4 @@ if norm_means: x += self.mean x.masked_fill_(make_pad_mask(ilens, x, 1), 0.0) return x, ilens return x, ilens
