#exp name and save dir
exp_name: 'ctc_fbank_cnn'
checkpoint_dir: 'checkpoint/'
summary_path: 'summary_path/'
#Data
vocab_file: 'data/units'
train_scp_path: 'data/train/fbank.scp'
train_lab_path: 'data/train/phn_text'
valid_scp_path: 'data/dev/fbank.scp'
valid_lab_path: 'data/dev/phn_text'
left_ctx: 0
right_ctx: 2
n_skip_frame: 2
n_downsample: 2
num_workers: 4
shuffle_train: False
feature_dim: 81
output_class_dim: 39
mel: False
feature_type: "fbank"

#Model
rnn_input_size: 243
rnn_hidden_size: 384
rnn_layers: 4
rnn_type: "nn.LSTM"
bidirectional: True
batch_norm: True
drop_out: 0.2

#CNN
add_cnn: True
layers: 2
channel: "[(1, 32), (32, 32)]"
kernel_size: "[(3, 3), (3, 3)]"
stride: "[(1, 2), (2, 2)]"
padding: "[(1, 1), (1, 1)]"
pooling: "None"
batch_norm: True
activation_function: "relu"

#[Training]
init_lr: 0.001
num_epoches: 500
end_adjust_acc: 2
lr_decay: 0.5
batch_size: 128
weight_decay: 0.005
seed: 123456
verbose_step: 50

#[test]
test_scp_path: 'data/dev/fbank.scp'
test_lab_path: 'data/dev/phn_text'
decode_type: "Greedy"
beam_width: 10
lm_alpha: 0.1
lm_path: 'data/lm_phone_bg.arpa'