docstr: Forward computations from the waveform batches to the enhanced output
docstr_tok: ["Forward","computations","from","the","waveform","batches","to","the","enhanced","output"]
code: def compute_forward(self, batch, stage):
      """Forward computations from the waveform batches to the enhanced output"""
      batch = batch.to(self.device)
      noisy_wavs, lens = batch.noisy_sig
      noisy_wavs = torch.unsqueeze(noisy_wavs, -1)
      predict_wavs = self.modules.model(noisy_wavs)[:, :, 0]
  
      return predict_wavs
  
file_path: speechbrain/recipes/Voicebank/enhance/waveform_map/train.py
imports: import os
  import sys
  import torch
  import torchaudio
  import speechbrain
  from pesq import pesq
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.utils.metric_stats import MetricStats
  from speechbrain.nnet.loss.stoi_loss import stoi_loss
  from speechbrain.utils.distributed import run_on_main
label_desc: Use image node_id 1 for calling the SEBrain obj's underlying member method code with example usage: obj.compute_forward(batch, stage) and returns: predict_wavs