diff --git a/speech_data.py b/speech_data.py
index 7eff4fb..183cc19 100644
--- a/speech_data.py
+++ b/speech_data.py
@@ -6,6 +6,7 @@ import tensorflow as tf
 from tensorflow.python.ops import data_flow_ops
 import numpy as np
 from speech_spectrum import generate_aiff_spectrogram
+from speech_pitch import pitch_array
 from speech_pitch import compute_mfcc
 from sklearn.model_selection import train_test_split
 import itertools
@@ -20,7 +21,7 @@ from tqdm import tqdm
 def siamese_pairs(rightGroup, wrongGroup):
     group1 = [r for (i, r) in rightGroup.iterrows()]
     group2 = [r for (i, r) in wrongGroup.iterrows()]
-    rightWrongPairs = [(g1, g2) for g2 in group2 for g1 in group1]#+[(g2, g1) for g2 in group2 for g1 in group1]
+    rightWrongPairs = [(g1, g2) for g2 in group2 for g1 in group1]+[(g2, g1) for g2 in group2 for g1 in group1]
     rightRightPairs = [i for i in itertools.permutations(group1, 2)]#+[i for i in itertools.combinations(group2, 2)]
     def filter_criteria(s1,s2):
         same = s1['variant'] == s2['variant']
@@ -36,7 +37,7 @@ def siamese_pairs(rightGroup, wrongGroup):
     random.shuffle(validRWPairs)
     random.shuffle(validRRPairs)
     # return rightRightPairs[:10],rightWrongPairs[:10]
-    return validRWPairs[:32],validRRPairs[:32]
+    return validRRPairs[:32],validRWPairs[:32]
 
 
 def _float_feature(value):
@@ -64,7 +65,8 @@ def create_spectrogram_tfrecords(audio_group='audio',sample_count=0,train_test_r
         for (w, word_group) in word_group_prog:
             word_group_prog.set_postfix(word=w,sample_name=sample_name)
             g = word_group.reset_index()
-            g['spectrogram'] = apply_by_multiprocessing(g['file_path'],generate_aiff_spectrogram)
+            g['spectrogram'] = apply_by_multiprocessing(g['file_path'],pitch_array)
+            # g['spectrogram'] = apply_by_multiprocessing(g['file_path'],generate_aiff_spectrogram)
             # g['spectrogram'] = apply_by_multiprocessing(g['file_path'],compute_mfcc)
             sample_right = g.loc[g['variant'] == 'low']
             sample_wrong = g.loc[g['variant'] == 'medium']
@@ -259,7 +261,7 @@ if __name__ == '__main__':
     # create_spectrogram_tfrecords('story_all',sample_count=25)
     # fix_csv('story_words_test')
     #fix_csv('audio')
-    create_spectrogram_tfrecords('story_words_test',sample_count=10,train_test_ratio=0.1)
+    create_spectrogram_tfrecords('story_words_pitch',sample_count=0,train_test_ratio=0.1)
     #record_generator_count()
     # create_spectrogram_tfrecords('audio',sample_count=50)
     # read_siamese_tfrecords_generator('audio')
diff --git a/speech_model.py b/speech_model.py
index 23168cb..949ff08 100644
--- a/speech_model.py
+++ b/speech_model.py
@@ -46,10 +46,12 @@ def dense_classifier(processed):
     conc_proc = Concatenate()(processed)
     d1 = Dense(64, activation='relu')(conc_proc)
     # dr1 = Dropout(0.1)(d1)
+    bn_d1 = BatchNormalization(momentum=0.98)(d1)
     # d2 = Dense(128, activation='relu')(d1)
-    d3 = Dense(8, activation='relu')(d1)
+    d3 = Dense(8, activation='relu')(bn_d1)
+    bn_d3 = BatchNormalization(momentum=0.98)(d3)
     # dr2 = Dropout(0.1)(d2)
-    return Dense(2, activation='softmax')(d3)
+    return Dense(2, activation='softmax')(bn_d3)
 
 def siamese_model(input_dim):
     base_network = create_base_rnn_network(input_dim)
@@ -127,4 +129,4 @@ def train_siamese(audio_group = 'audio'):
 
 
 if __name__ == '__main__':
-    train_siamese('story_words_test')
+    train_siamese('story_words_pitch')
diff --git a/speech_test.py b/speech_test.py
index 4fcd2fc..e427e06 100644
--- a/speech_test.py
+++ b/speech_test.py
@@ -177,7 +177,7 @@ def visualize_results(audio_group='audio'):
 if __name__ == '__main__':
     # evaluate_siamese('./outputs/story_words_test.train.tfrecords',audio_group='story_words.gpu',weights ='siamese_speech_model-58-epoch-0.00-acc.h5')
     # evaluate_siamese('./outputs/story_words.test.tfrecords',audio_group='story_words',weights ='siamese_speech_model-675-epoch-0.00-acc.h5')
-    evaluate_siamese('./outputs/story_words_test.train.tfrecords',audio_group='story_words_test.10',weights ='siamese_speech_model-891-epoch-0.02-acc.h5')
+    evaluate_siamese('./outputs/story_words_pitch.test.tfrecords',audio_group='story_words_pitch',weights ='siamese_speech_model-867-epoch-0.12-acc.h5')
     # play_results('story_words')
     #inspect_tfrecord('./outputs/story_phrases.test.tfrecords',audio_group='story_phrases')
     # visualize_results('story_words.gpu')