code: def dynamic_range_compression(x, C=1, clip_val=1e-5):
      """Dynamic range compression for audio signals"""
      return torch.log(torch.clamp(x, min=clip_val) * C)
  
imports: from math import sqrt
  from speechbrain.nnet.loss.guidedattn_loss import GuidedAttentionLoss
  from speechbrain.lobes.models.transformer.Transformer import get_mask_from_lengths
  import torch
  from torch import nn
  from torch.nn import functional
  from collections import namedtuple
label_desc: Use image node_id 2 for calling a global function with example usage: dynamic_range_compression(x, C, clip_val) and returns: torch