code: def vtln_warp_mel_freq(
      vtln_low_cutoff: float,
      vtln_high_cutoff: float,
      low_freq,
      high_freq: float,
      vtln_warp_factor: float,
      mel_freq: Tensor,
  ) -> Tensor:
      r"""
      Args:
          vtln_low_cutoff (float): Lower frequency cutoffs for VTLN
          vtln_high_cutoff (float): Upper frequency cutoffs for VTLN
          low_freq (float): Lower frequency cutoffs in mel computation
          high_freq (float): Upper frequency cutoffs in mel computation
          vtln_warp_factor (float): Vtln warp factor
          mel_freq (Tensor): Given frequency in Mel
  
      Returns:
          Tensor: ``mel_freq`` after vtln warp
      """
      return mel_scale(
          vtln_warp_freq(
              vtln_low_cutoff,
              vtln_high_cutoff,
              low_freq,
              high_freq,
              vtln_warp_factor,
              inverse_mel_scale(mel_freq),
          )
      )
  
imports: import math
  from typing import Tuple
  import torch
  import torchaudio
  from torch import Tensor
label_desc: Use image node_id 15 for calling a global function with example usage: vtln_warp_mel_freq(vtln_low_cutoff, vtln_high_cutoff, low_freq, high_freq, vtln_warp_factor, mel_freq) and returns: mel_scale