class_docstr: Test audio preprocess functions.
code: def test_wav_input(self):
      audio = torch.rand(200)
      outs = preprocess_wav(
          audio,
          segment_size=int(
              self.params["sample_rate"] * self.params["segment_size"]
          ),
          hop_size=int(
              self.params["sample_rate"] * self.params["hop_size"]
          ),
          frame_shift_mul=self.params["frame_shift_mul"],
      )
      self.assertTrue(outs.shape == (2, 80))
  
file_path: towhee/tests/unittests/models/utils/test_audio_preprocess.py
imports: import unittest
  import torch
  import numpy
  from towhee.models.utils.audio_preprocess import MelSpec, preprocess_wav
label_desc: Use image node_id 4 for calling the TestAudioPreprocess obj's underlying member method code with example usage: obj.test_wav_input() without return types