Update add_speech_feats_to_train_data.py

add_speech_feats_to_train_data.py

@@ -25,13 +25,13 @@ for item in data:
 
         ### extract clean audio feats
         clean_audio = whisper.load_audio(clean_audio_path)
-        clean_audio = whisper.pad_or_trim(clean_audio)
+        # clean_audio = whisper.pad_or_trim(clean_audio)    # padding to 30s
         clean_mel = whisper.log_mel_spectrogram(clean_audio).to(model.device)
         clean_audio_features = model.encoder(clean_mel.unsqueeze(0))[0]
 
         # noisy audio feats
         noisy_audio = whisper.load_audio(noisy_audio_path)
-        noisy_audio = whisper.pad_or_trim(noisy_audio)
+        # noisy_audio = whisper.pad_or_trim(noisy_audio)    # padding to 30s
         noisy_mel = whisper.log_mel_spectrogram(noisy_audio).to(model.device)
         noisy_audio_features = model.encoder(noisy_mel.unsqueeze(0))[0]