diff --git a/speech_data.py b/speech_data.py
index 2d1bb2c..5ccbeb6 100644
--- a/speech_data.py
+++ b/speech_data.py
@@ -56,20 +56,23 @@ def sunflower_pairs_data():
     te_pairs = np.array([x_pos_test,x_neg_test]).reshape(x_pos_test.shape[0],2,max_samples,sample_size)
     return tr_pairs,te_pairs,tr_y,te_y
 
+def create_spectrogram_data():
+    audio_samples = pd.read_csv('./outputs/'+audio_group+'.csv',names=['word','voice','rate','variant','file'])
+    audio_samples.loc[:,'spectrogram'] = audio_samples.loc[:,'file'].apply(lambda x:'outputs/'+audio_group+'/'+x).apply(generate_aiff_spectrogram)
+    audio_samples.to_pickle('spectrogram.pkl')
 
 def speech_pairs_data(audio_group):
-    audio_samples = pd.read_csv('./outputs/'+audio_group+'.csv',names=['word','voice','rate','variant','file'])
-    audio_samples.loc[:,'file'] = audio_samples.loc[:,'file'].apply(lambda x:'outputs/'+audio_group+'/'+x).apply(generate_aiff_spectrogram)
+    audio_samples = pd.read_pickle('spectrogram.pkl')
     y_data = audio_samples['variant'].apply(lambda x:x=='normal').values
-    max_samples = audio_samples['file'].apply(lambda x:x.shape[0]).max()
-    sample_size = audio_samples['file'][0].shape[1]
+    max_samples = audio_samples['spectrogram'].apply(lambda x:x.shape[0]).max()
+    sample_size = audio_samples['spectrogram'][0].shape[1]
     audio_samples_pos = audio_samples[audio_samples['variant'] == 'normal'].reset_index(drop=True)
     audio_samples_neg = audio_samples[audio_samples['variant'] == 'phoneme'].reset_index(drop=True)
     def append_zeros(spgr):
         return np.lib.pad(spgr,[(0, max_samples-spgr.shape[0]), (0,0)],'median')
     def create_data(sf):
-        sample_count = sf['file'].shape[0]
-        pad_sun = sf['file'].apply(append_zeros).values
+        sample_count = sf['spectrogram'].shape[0]
+        pad_sun = sf['spectrogram'].apply(append_zeros).values
         x_data = np.vstack(pad_sun).reshape((sample_count,max_samples,sample_size))
         return x_data
     x_data_pos = create_data(audio_samples_pos)
@@ -82,4 +85,5 @@ def speech_pairs_data(audio_group):
     return tr_pairs,te_pairs,tr_y,te_y
 
 if __name__ == '__main__':
+    create_spectrogram_data()
     print(speech_pairs_data())