code: def eval_composite(ref_wav, deg_wav, sample_rate):
      """Evaluate audio quality metrics based on reference
      and degraded audio signals.
      This function computes various audio quality metrics,
      including PESQ, CSIG, CBAK, and COVL, based on the
      reference and degraded audio signals provided.
      """
      ref_wav = ref_wav.reshape(-1)
      deg_wav = deg_wav.reshape(-1)
  
      alpha = 0.95
      len_ = min(ref_wav.shape[0], deg_wav.shape[0])
      ref_wav = ref_wav[:len_]
      deg_wav = deg_wav[:len_]
  
      # Compute WSS measure
      wss_dist_vec = wss(ref_wav, deg_wav, sample_rate)
      wss_dist_vec = sorted(wss_dist_vec, reverse=False)
      wss_dist = np.mean(
          wss_dist_vec[: int(round(len(wss_dist_vec) * alpha))]
      )
  
      # Compute LLR measure
      LLR_dist = llr(ref_wav, deg_wav, sample_rate)
      LLR_dist = sorted(LLR_dist, reverse=False)
      LLRs = LLR_dist
      LLR_len = round(len(LLR_dist) * alpha)
      llr_mean = np.mean(LLRs[:LLR_len])
  
      # Compute the SSNR
      snr_mean, segsnr_mean = SSNR(ref_wav, deg_wav, sample_rate)
      segSNR = np.mean(segsnr_mean)
  
      # Compute the PESQ
      pesq_raw = PESQ(ref_wav, deg_wav, sample_rate)
  
      Csig = (
          3.093 - 1.029 * llr_mean + 0.603 * pesq_raw - 0.009 * wss_dist
      )
      Csig = trim_mos(Csig)
      Cbak = (
          1.634 + 0.478 * pesq_raw - 0.007 * wss_dist + 0.063 * segSNR
      )
      Cbak = trim_mos(Cbak)
      Covl = (
          1.594 + 0.805 * pesq_raw - 0.512 * llr_mean - 0.007 * wss_dist
      )
      Covl = trim_mos(Covl)
  
      return {
          "pesq": pesq_raw,
          "csig": Csig,
          "cbak": Cbak,
          "covl": Covl,
      }
  
file_path: speechbrain/recipes/DNS/enhancement/composite_eval.py
imports: from scipy.linalg import toeplitz
  from tqdm import tqdm
  from pesq import pesq
  import librosa
  import numpy
  import os
  import sys
label_desc: Use image node_id 1 for calling a global function with example usage: eval_composite(ref_wav, deg_wav, sample_rate) and returns: dict