# Parameters:
NUM_OF_COEFF = 10   # 10
TIME_S = 50     # 50
TIME_F = 130    # 130
current_batch = 0
train_directory = r'/media/akiva/Seagate Backup Plus Drive/voxforge/train'
test_directory = r'/media/akiva/Seagate Backup Plus Drive/voxforge/test'

n_steps = NUM_OF_COEFF
n_input = (TIME_F - TIME_S)
n_classes = 2
n_hidden = 128
learning_rate = 0.001
training_iters = 10000000  # 100000    # 4_abount_1500: 800000
display_step = 10















'''
# /////////////////////////
NUM_OF_COEFF = 10   # 10
TIME_S = 30     # 30
TIME_F = 110    # 100
current_batch = 0
all_mfcc_vectors = []
all_audio_files = []
num_of_audio_in_language = 100  # 100
validation = int(0.15 * num_of_audio_in_language)
# ///////////////

learning_rate = 0.00001  # without dropout: 0.000001  # with dropout: 0.0000001  # default learning rate of 0.001(for Adam).
hm_epochs = 600     # without dropout: 600
n_classes = 4
batch_size = 1
chunk_size = (TIME_F - TIME_S)
n_chunks = NUM_OF_COEFF
rnn_size = 128  # make this bigger
up_to_subfile = []


num_of_batches_in_language = int(num_of_audio_in_language / batch_size)


'''