def METHOD_NAME(self):
    mel_name = "mel_test"
    mel_featurizer = MelSpectrogramFeaturizer(
        feature_name=mel_name, mel_dim=self.spec_dim, hop_length=self.hop_len, sample_rate=self.sample_rate
    )
    with self._create_test_dir() as test_dir:
        feature_dir = test_dir / "feature"
        mel_featurizer.save(manifest_entry=self.manifest_entry, audio_dir=test_dir, feature_dir=feature_dir)
        mel_dict = mel_featurizer.load(
            manifest_entry=self.manifest_entry, audio_dir=test_dir, feature_dir=feature_dir
        )
    mel_spec = mel_dict[mel_name]
    assert len(mel_spec.shape) == 2
    assert mel_spec.dtype == torch.float32
    assert mel_spec.shape[0] == self.spec_dim
    assert mel_spec.shape[1] == self.spec_len