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speech-scoring
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updated learning rate

master
Malar Kannan 2017-10-23 20:21:44 +05:30
parent 6f3bca61cf
commit 03d49d83e7
3 changed files with 171 additions and 264 deletions
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425
Siamese.ipynb
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File diff suppressed because one or more lines are too long

6
speech_data.py
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@ -122,8 +122,10 @@ def create_speech_pairs_data(audio_group='audio'):
# print('pickled speech model data') # print('pickled speech model data')
def speech_model_data(): def speech_model_data():
tr_pairs = np.load('outputs/tr_pairs.npy').astype(np.float32)/255.0 tr_pairs = np.load('outputs/tr_pairs.npy')/255.0
te_pairs = np.load('outputs/te_pairs.npy').astype(np.float32)/255.0 te_pairs = np.load('outputs/te_pairs.npy')/255.0
tr_pairs[tr_pairs < 0] = 0
te_pairs[te_pairs < 0] = 0
tr_y = np.load('outputs/tr_y.npy') tr_y = np.load('outputs/tr_y.npy')
te_y = np.load('outputs/te_y.npy') te_y = np.load('outputs/te_y.npy')
return tr_pairs,te_pairs,tr_y,te_y return tr_pairs,te_pairs,tr_y,te_y

2
speech_siamese.py
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@ -120,7 +120,7 @@ tb_cb = TensorBoard(log_dir='./siamese_logs', histogram_freq=1, batch_size=32,
embeddings_freq=0, embeddings_layer_names=None, embeddings_freq=0, embeddings_layer_names=None,
embeddings_metadata=None) embeddings_metadata=None)
# train # train
rms = RMSprop(lr=0.00001) # lr=0.001) rms = RMSprop(lr=0.001) # lr=0.001)
sgd = SGD(lr=0.001) sgd = SGD(lr=0.001)
model.compile(loss=contrastive_loss, optimizer=rms, metrics=[accuracy]) model.compile(loss=contrastive_loss, optimizer=rms, metrics=[accuracy])
model.fit([tr_pairs[:, 0], tr_pairs[:, 1]], tr_y, model.fit([tr_pairs[:, 0], tr_pairs[:, 1]], tr_y,