class_docstr: A class for computing MOS scores using an ONNX model and polynomial fitting.
      
class_docstr_tok: ["A","class","for","computing","MOS","scores","using","an","ONNX","model","and","polynomial","fitting","."]
docstr: Initialize the ComputeScore class.
          
docstr_tok: ["Initialize","the","ComputeScore","class","."]
code: def __init__(self, primary_model_path) -> None:
      """Initialize the ComputeScore class."""
      self.onnx_sess = ort.InferenceSession(primary_model_path)
  
file_path: speechbrain/recipes/DNS/enhancement/dnsmos_local.py
imports: import argparse
  import concurrent.futures
  import glob
  import os
  import librosa
  import numpy
  import onnxruntime
  import pandas
  import soundfile
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new ComputeScore object  with example: obj = ComputeScore(primary_model_path)