malar
/
speech-scoring
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

the pair generation order is randomized

master
Malar Kannan 2017-11-15 14:43:39 +05:30
parent 1b0ba26a6e
commit a9b244a50c
2 changed files with 9 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
speech_data.py
View File

@ -19,8 +19,8 @@ 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]
rightRightPairs = [i for i in itertools.combinations(group1, 2)]#+[i for i in itertools.combinations(group2, 2)]
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)]
# random.shuffle(rightWrongPairs)
# random.shuffle(rightRightPairs)
# return rightRightPairs[:10],rightWrongPairs[:10]

8
speech_test.py
View File

@ -128,10 +128,16 @@ def play_results(audio_group='audio'):
break
close_player()
def visualize_results(audio_group='audio'):
result = pd.read_csv('./outputs/' + audio_group + '.results.csv',index_col=0)
import pdb; pdb.set_trace()
if __name__ == '__main__':
evaluate_siamese('./outputs/story_words_test.train.tfrecords',audio_group='story_words',weights ='siamese_speech_model-712-epoch-0.00-acc.h5')
# evaluate_siamese('./outputs/story_words_test.train.tfrecords',audio_group='story_words',weights ='siamese_speech_model-712-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')
# play_results('story_words')
visualize_results('story_words')
# test_with('rand_edu')
# sunflower_data,sunflower_result = get_word_pairs_data('sweater',15)
# print(np.argmax(model.predict([sunflower_data[:, 0], sunflower_data[:, 1]]),axis=1))