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streaming st
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D-Keqi authored Apr 7, 2022
1 parent 812a527 commit 17fe79c
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batch_size: 1
beam_size: 10
nbest: 1
lm_weight: 0.0
sim_chunk_length: 5120
95 changes: 95 additions & 0 deletions egs2/fisher_callhome_spanish/st1/conf/train_st_streaming.yaml
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# network architecture

# frontend related
frontend: default
frontend_conf:
n_fft: 512
win_length: 400
hop_length: 160

# encoder related
# encoder related
encoder: contextual_block_transformer
encoder_conf:
output_size: 256
attention_heads: 4
linear_units: 2048
num_blocks: 12
dropout_rate: 0.1
positional_dropout_rate: 0.1
attention_dropout_rate: 0.1
input_layer: conv2d
normalize_before: true
block_size: 40
hop_size: 16
look_ahead: 16
init_average: true
ctx_pos_enc: true

# decoder related
decoder: transformer
decoder_conf:
input_layer: embed
num_blocks: 6
linear_units: 2048
dropout_rate: 0.1

extra_asr_decoder: transformer
extra_asr_decoder_conf:
input_layer: embed
num_blocks: 2
linear_units: 2048
dropout_rate: 0.1

extra_mt_decoder: transformer
extra_mt_decoder_conf:
input_layer: embed
num_blocks: 2
linear_units: 2048
dropout_rate: 0.1

# loss related
model_conf:
asr_weight: 0.3
mt_weight: 0.0
mtlalpha: 1.0
lsm_weight: 0.1
length_normalized_loss: false

# optimization related
optim: adam
accum_grad: 1
grad_clip: 3
max_epoch: 50
optim_conf:
lr: 2.5
scheduler: noamlr
scheduler_conf:
model_size: 256
warmup_steps: 25000

# minibatch related
batch_type: folded
batch_size: 128

best_model_criterion:
- - valid
- acc
- max
keep_nbest_models: 10
num_att_plot: 0
specaug: specaug
specaug_conf:
apply_time_warp: true
time_warp_window: 5
time_warp_mode: bicubic
apply_freq_mask: true
freq_mask_width_range:
- 0
- 30
num_freq_mask: 2
apply_time_mask: true
time_mask_width_range:
- 0
- 40
num_time_mask: 2

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