diff --git a/data_utils.py b/data_utils.py
index 1f4121d..0c81725 100644
--- a/data_utils.py
+++ b/data_utils.py
@@ -94,15 +94,12 @@ class TextAudioSpeakerLoader(torch.utils.data.Dataset):
             spec = torch.load(spec_filename)
         else:
             if self.use_mel_spec_posterior:
-                ''' TODO : (need verification) 
-                if linear spec exists convert to 
-                mel from existing linear spec (uncomment below lines) '''
-                if os.path.exists(filename.replace(".wav", ".spec.pt")):
-                     #spec, n_fft, num_mels, sampling_rate, fmin, fmax
-                     #spec = spec_to_mel_torch(
-                     #torch.load(filename.replace(".wav", ".spec.pt")), 
-                     #self.filter_length, self.n_mel_channels, self.sampling_rate,
-                     #self.hparams.mel_fmin, self.hparams.mel_fmax)
+                # if os.path.exists(filename.replace(".wav", ".spec.pt")):
+                #     # spec, n_fft, num_mels, sampling_rate, fmin, fmax
+                #     spec = spec_to_mel_torch(
+                #         torch.load(filename.replace(".wav", ".spec.pt")), 
+                #         self.filter_length, self.n_mel_channels, self.sampling_rate,
+                #         self.hparams.mel_fmin, self.hparams.mel_fmax)
                 spec = mel_spectrogram_torch(audio_norm, self.filter_length,
                     self.n_mel_channels, self.sampling_rate, self.hop_length,
                     self.win_length, self.hparams.mel_fmin, self.hparams.mel_fmax, center=False)