code: def __init__(
      self,
      in_channels=80,
      out_channels=4,
      proj_kernel=7,
      base_channels=384,
      upsample_factors=(2, 8, 2, 2),
      res_kernel=3,
      num_res_blocks=3,
  ):
      super(MultibandMelganGenerator, self).__init__(
          in_channels=in_channels,
          out_channels=out_channels,
          proj_kernel=proj_kernel,
          base_channels=base_channels,
          upsample_factors=upsample_factors,
          res_kernel=res_kernel,
          num_res_blocks=num_res_blocks,
      )
      self.pqmf_layer = PQMF(N=4, taps=62, cutoff=0.15, beta=9.0)
  
file_path: TTS/TTS/vocoder/tf/models/multiband_melgan_generator.py
imports: import tensorflow
  from TTS.vocoder.tf.models.melgan_generator import MelganGenerator
  from TTS.vocoder.tf.layers.pqmf import PQMF
label_desc: Use image node_id 1 to create a new MultibandMelganGenerator object from inherited base classes: MelganGenerator with example: obj = MultibandMelganGenerator(in_channels, out_channels, proj_kernel, base_channels, upsample_factors, res_kernel, num_res_blocks)