code: def __init__(self, coefficient=0.97):
      super().__init__()
      self.coefficient = coefficient
      self.register_buffer(
          "filter",
          torch.FloatTensor([-self.coefficient, 1.0])
          .unsqueeze(0)
          .unsqueeze(0),
      )
  
file_path: TTS/TTS/encoder/models/base_encoder.py
imports: import numpy
  import torch
  import torchaudio
  from coqpit import Coqpit
  from torch import nn
  from TTS.encoder.losses import AngleProtoLoss, GE2ELoss, SoftmaxAngleProtoLoss
  from TTS.utils.generic_utils import set_init_dict
  from TTS.utils.io import load_fsspec
label_desc: Use image node_id 1 to create a new PreEmphasis object from inherited base classes: nn with example: obj = PreEmphasis(coefficient)