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arguments.py
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import argparse
# bool type
def str2bool(v):
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Boolean value expected.')
def parse_args():
parser = argparse.ArgumentParser(
description='A tensorflow implementation of end-to-end speech recognition system:'
'Listen, Attend and Spell (LAS)')
# feature arguments
parser.add_argument('--dataset',
type=str,
default='LibriSpeech',
help='Dataset: LibriSpeech or TEDLIUM.')
parser.add_argument('--unit',
type=str,
default='subword',
help='Encoding unit for texts processing.')
parser.add_argument('--sample_rate',
type=int,
default=16000,
help='Sample rate.')
parser.add_argument('--feat_dim',
type=int,
default=39,
help='The feature dimension.')
parser.add_argument('--frame_length',
type=int,
default=25,
help='Frame length in ms.')
parser.add_argument('--frame_step',
type=int,
default=10,
help='Frame step in ms.')
parser.add_argument('--feat_type',
type=str,
default='mfcc',
help='mfcc')
parser.add_argument('--cmvn',
type=str2bool,
default=True,
help='Apply cmvn or not.')
parser.add_argument('--augmentation',
type=str2bool,
default=False,
help='Apply data augmentation or not.')
parser.add_argument('--split',
type=str,
default='dev',
help='Split used for evaluation.')
# training arguments
parser.add_argument('--verbose',
'-vb',
type=int,
default=0,
help='Verbosity.')
parser.add_argument('--batch_size',
'-bs',
type=int,
default=32,
help='The training batch size.')
parser.add_argument('--lr',
type=float,
default=1e-3,
help='The training learning rate.')
parser.add_argument('--grad_clip',
type=float,
default=5,
help='Apply gradient clipping.')
parser.add_argument('--dropout_rate',
type=float,
default=0.5,
help='The probability of drop out.')
parser.add_argument('--epoch',
type=int,
default=10,
help='The number of training epochs.')
parser.add_argument('--restore_epoch',
type=int,
default=-1,
help='The epoch you want to restore.')
parser.add_argument('--label_smoothing',
type=str2bool,
default=True,
help='Apply label smoothing.')
parser.add_argument('--apply_bn',
type=str2bool,
default=False,
help='Apply batch normalization.')
parser.add_argument('--add_vn',
type=str2bool,
default=False,
help='Apply variational noise to weights.')
parser.add_argument('--ctc',
type=str2bool,
default=False,
help='Apply ctc.')
parser.add_argument('--ctc_weight',
type=float,
default=0.2,
help='Weighting of ctc.')
# hparams of Listener
parser.add_argument('--enc_type',
type=str,
default='cnn',
help='The hidden dimension of the BLSTMs in Listener.')
parser.add_argument('--enc_units',
type=int,
default=64,
help='The hidden dimension of the BLSTMs in Listener.')
parser.add_argument('--num_enc_channels',
type=int,
default=32,
help='The number of channels in CNN layers of Listener.')
parser.add_argument('--num_enc_layers',
type=int,
default=2,
help='The number of layers of BLSTMs in Listener.')
# hparams of Attention
parser.add_argument('--attention_size',
type=int,
default=128,
help='Attention size.')
parser.add_argument('--loc_kernel_size',
type=int,
default=201,
help='Kernel size in location-aware attention.')
parser.add_argument('--loc_num_channels',
type=int,
default=10,
help='Number of channels in location-aware attention')
parser.add_argument('--mode',
type=str,
default='add',
help='Additive attention or loction-aware attention.')
# hparams of Speller
parser.add_argument('--dec_units',
type=int,
default=128,
help='The hidden dimension of the LSTM in Speller.')
parser.add_argument('--num_dec_layers',
type=int,
default=2,
help='The number of layers of LSTM in Speller.')
parser.add_argument('--embedding_size',
type=int,
default=128,
help='The dimension of the embedding matrix is: [vocab_size, embedding_size].')
parser.add_argument('--scheduled_sampling',
type=str2bool,
default=True,
help='Apply schduled sampling.')
parser.add_argument('--warmup_step',
type=int,
default=100000,
help='Warmup step before applying scheduled sampling while training. During warmup step, teacher forcing rate is set to 1.')
parser.add_argument('--max_step',
type=int,
default=500000,
help='Max step in scheduled sampling.')
parser.add_argument('--min_rate',
type=float,
default=0.4,
help='Max step in scheduled sampling.')
# beam search
parser.add_argument('--convert_rate',
type=float,
default=0.166,
help='Convert the length of audio to estimate the required decoding steps.')
parser.add_argument('--beam_size',
type=int,
default=10,
help='Size for beam search.')
parser.add_argument('--apply_lm',
type=str2bool,
default=False,
help='Apply language model.')
parser.add_argument('--lm_weight',
type=float,
default=0.5,
help='Weighting of recoring with language model.')
# dir
parser.add_argument('--train_100hr_corpus_dir',
type=str,
default='data/LibriSpeech/LibriSpeech_train/train-clean-100',
help='')
parser.add_argument('--train_360hr_corpus_dir',
type=str,
default='data/LibriSpeech/LibriSpeech_train/train-clean-360',
help='')
parser.add_argument('--train_500hr_corpus_dir',
type=str,
default='data/LibriSpeech/LibriSpeech_train/train-other-500',
help='')
parser.add_argument('--dev_data_dir',
type=str,
default='data/LibriSpeech-100/LibriSpeech_dev/dev-clean',
help='')
parser.add_argument('--test_data_dir',
type=str,
default='data/LibriSpeech-100/LibriSpeech_test/test-clean',
help='')
parser.add_argument('--feat_dir',
type=str,
default='data/LibriSpeech/features',
help='Path to save features.')
parser.add_argument('--subword_dir',
type=str,
default='subword/',
help='Path to vocab files of BPE subword unit.')
parser.add_argument('--log_dir',
type=str,
default='log/',
help='Save log file..')
parser.add_argument('--save_dir',
type=str,
default='model/las/',
help='Save trained model.')
parser.add_argument('--summary_dir',
type=str,
default='summary/',
help='Save summary.')
args = parser.parse_args()
return args