|
|
|
|
############################################
|
|
|
|
|
# Network Architecture #
|
|
|
|
|
############################################
|
|
|
|
|
cmvn_file:
|
|
|
|
|
cmvn_file_type: "json"
|
|
|
|
|
# encoder related
|
|
|
|
|
encoder: conformer
|
|
|
|
|
encoder_conf:
|
|
|
|
|
output_size: 512 # dimension of attention
|
|
|
|
|
attention_heads: 8
|
|
|
|
|
linear_units: 2048 # the number of units of position-wise feed forward
|
|
|
|
|
num_blocks: 12 # the number of encoder blocks
|
|
|
|
|
dropout_rate: 0.1
|
|
|
|
|
positional_dropout_rate: 0.1
|
|
|
|
|
attention_dropout_rate: 0.0
|
|
|
|
|
input_layer: conv2d # encoder input type, you can chose conv2d, conv2d6 and conv2d8
|
|
|
|
|
normalize_before: True
|
|
|
|
|
use_cnn_module: True
|
|
|
|
|
cnn_module_kernel: 15
|
|
|
|
|
cnn_module_norm: layer_norm
|
|
|
|
|
activation_type: swish
|
|
|
|
|
pos_enc_layer_type: rel_pos
|
|
|
|
|
selfattention_layer_type: rel_selfattn
|
|
|
|
|
|
|
|
|
|
# decoder related
|
|
|
|
|
decoder: transformer
|
|
|
|
|
decoder_conf:
|
|
|
|
|
attention_heads: 8
|
|
|
|
|
linear_units: 2048
|
|
|
|
|
num_blocks: 6
|
|
|
|
|
dropout_rate: 0.1
|
|
|
|
|
positional_dropout_rate: 0.1
|
|
|
|
|
self_attention_dropout_rate: 0.0
|
|
|
|
|
src_attention_dropout_rate: 0.0
|
|
|
|
|
|
|
|
|
|
# hybrid CTC/attention
|
|
|
|
|
model_conf:
|
|
|
|
|
ctc_weight: 0.3
|
|
|
|
|
lsm_weight: 0.1 # label smoothing option
|
|
|
|
|
length_normalized_loss: false
|
|
|
|
|
|
|
|
|
|
# https://yaml.org/type/float.html
|
|
|
|
|
###########################################
|
|
|
|
|
# Data #
|
|
|
|
|
###########################################
|
|
|
|
|
train_manifest: data/manifest.train
|
|
|
|
|
dev_manifest: data/manifest.dev
|
|
|
|
|
test_manifest: data/manifest.test
|
|
|
|
|
|
|
|
|
|
###########################################
|
|
|
|
|
# Dataloader #
|
|
|
|
|
###########################################
|
|
|
|
|
use_stream_data: True
|
|
|
|
|
unit_type: 'char'
|
|
|
|
|
vocab_filepath: data/lang_char/vocab.txt
|
|
|
|
|
cmvn_file: data/mean_std.json
|
|
|
|
|
preprocess_config: conf/preprocess.yaml
|
|
|
|
|
spm_model_prefix: ''
|
|
|
|
|
feat_dim: 80
|
|
|
|
|
stride_ms: 10.0
|
|
|
|
|
window_ms: 25.0
|
|
|
|
|
dither: 0.1
|
|
|
|
|
sortagrad: 0 # Feed samples from shortest to longest ; -1: enabled for all epochs, 0: disabled, other: enabled for 'other' epochs
|
|
|
|
|
batch_size: 64
|
|
|
|
|
minlen_in: 10
|
|
|
|
|
maxlen_in: 512 # if input length > maxlen-in, batchsize is automatically reduced
|
|
|
|
|
minlen_out: 0
|
|
|
|
|
maxlen_out: 150 # if output length > maxlen-out, batchsize is automatically reduced
|
|
|
|
|
resample_rate: 16000
|
|
|
|
|
shuffle_size: 10000
|
|
|
|
|
sort_size: 500
|
|
|
|
|
num_workers: 4
|
|
|
|
|
prefetch_factor: 100
|
|
|
|
|
dist_sampler: True
|
|
|
|
|
num_encs: 1
|
|
|
|
|
augment_conf:
|
|
|
|
|
max_w: 80
|
|
|
|
|
w_inplace: True
|
|
|
|
|
w_mode: "PIL"
|
|
|
|
|
max_f: 30
|
|
|
|
|
num_f_mask: 2
|
|
|
|
|
f_inplace: True
|
|
|
|
|
f_replace_with_zero: False
|
|
|
|
|
max_t: 40
|
|
|
|
|
num_t_mask: 2
|
|
|
|
|
t_inplace: True
|
|
|
|
|
t_replace_with_zero: False
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
###########################################
|
|
|
|
|
# Training #
|
|
|
|
|
###########################################
|
|
|
|
|
n_epoch: 240
|
|
|
|
|
accum_grad: 16
|
|
|
|
|
global_grad_clip: 5.0
|
|
|
|
|
log_interval: 1
|
|
|
|
|
checkpoint:
|
|
|
|
|
kbest_n: 50
|
|
|
|
|
latest_n: 5
|
|
|
|
|
optim: adam
|
|
|
|
|
optim_conf:
|
|
|
|
|
lr: 0.001
|
|
|
|
|
weight_decay: 1.0e-6
|
|
|
|
|
scheduler: warmuplr
|
|
|
|
|
scheduler_conf:
|
|
|
|
|
warmup_steps: 5000
|
|
|
|
|
lr_decay: 1.0
|
