嘉渊
2023-07-05 753a238d3a7efcabb48da4330afbe571935668ec
update
1个文件已修改
1个文件已添加
107 ■■■■■ 已修改文件
egs/aishell/branchformer/conf/train_asr_branchformer_bs16000.yaml 104 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
egs/aishell/branchformer/run.sh 3 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
egs/aishell/branchformer/conf/train_asr_branchformer_bs16000.yaml
New file
@@ -0,0 +1,104 @@
# network architecture
# encoder related
encoder: branchformer
encoder_conf:
    output_size: 256
    use_attn: true
    attention_heads: 4
    attention_layer_type: rel_selfattn
    pos_enc_layer_type: rel_pos
    rel_pos_type: latest
    use_cgmlp: true
    cgmlp_linear_units: 2048
    cgmlp_conv_kernel: 31
    use_linear_after_conv: false
    gate_activation: identity
    merge_method: concat
    cgmlp_weight: 0.5               # used only if merge_method is "fixed_ave"
    attn_branch_drop_rate: 0.0      # used only if merge_method is "learned_ave"
    num_blocks: 24
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    attention_dropout_rate: 0.1
    input_layer: conv2d
    stochastic_depth_rate: 0.0
# decoder related
decoder: transformer
decoder_conf:
    attention_heads: 4
    linear_units: 2048
    num_blocks: 6
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    self_attention_dropout_rate: 0.
    src_attention_dropout_rate: 0.
# frontend related
frontend: wav_frontend
frontend_conf:
    fs: 16000
    window: hamming
    n_mels: 80
    frame_length: 25
    frame_shift: 10
    lfr_m: 1
    lfr_n: 1
# hybrid CTC/attention
model_conf:
    ctc_weight: 0.3
    lsm_weight: 0.1     # label smoothing option
    length_normalized_loss: false
# optimization related
accum_grad: 1
grad_clip: 5
max_epoch: 180
val_scheduler_criterion:
    - valid
    - acc
best_model_criterion:
-   - valid
    - acc
    - max
keep_nbest_models: 10
optim: adam
optim_conf:
   lr: 0.001
   weight_decay: 0.000001
scheduler: warmuplr
scheduler_conf:
   warmup_steps: 35000
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
    - 27
    num_freq_mask: 2
    apply_time_mask: true
    time_mask_width_ratio_range:
    - 0.
    - 0.05
    num_time_mask: 10
dataset_conf:
    data_names: speech,text
    data_types: sound,text
    shuffle: True
    shuffle_conf:
        shuffle_size: 2048
        sort_size: 500
    batch_conf:
        batch_type: token
        batch_size: 16000
    num_workers: 8
log_interval: 50
normalize: None
egs/aishell/branchformer/run.sh
@@ -46,7 +46,8 @@
valid_set=dev
test_sets="dev test"
asr_config=conf/train_asr_branchformer.yaml
#asr_config=conf/train_asr_branchformer.yaml
asr_config=conf/train_asr_branchformer_bs16000.yaml
model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"
inference_config=conf/decode_asr_transformer.yaml