class_docstr: Transposed Convolutional decoder for speech enhancement and separation
code: def __init__(
      self,
      channel: int,
      kernel_size: int,
      stride: int,
  ):
      super().__init__()
      self.convtrans1d = torch.nn.ConvTranspose1d(
          channel, 1, kernel_size, bias=False, stride=stride
      )
  
      self.kernel_size = kernel_size
      self.stride = stride
  
file_path: espnet/espnet2/enh/decoder/conv_decoder.py
imports: import math
  import torch
  from espnet2.enh.decoder.abs_decoder import AbsDecoder
label_desc: Use image node_id 1 to create a new ConvDecoder object from inherited base classes: AbsDecoder with example: obj = ConvDecoder(channel, kernel_size, stride)