嘉渊
2023-05-10 e422c6197b5bcada0429986500d8d5ca4ffcb3e4
update repo
3个文件已添加
166 ■■■■■ 已修改文件
egs/librispeech_100h/conf/decode_asr_transformer.yaml 6 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
egs/librispeech_100h/conf/train_asr_conformer.yaml 80 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
egs/librispeech_100h/conf/train_asr_conformer_uttnorm.yaml 80 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
egs/librispeech_100h/conf/decode_asr_transformer.yaml
New file
@@ -0,0 +1,6 @@
beam_size: 10
penalty: 0.0
maxlenratio: 0.0
minlenratio: 0.0
ctc_weight: 0.5
lm_weight: 0.7
egs/librispeech_100h/conf/train_asr_conformer.yaml
New file
@@ -0,0 +1,80 @@
encoder: conformer
encoder_conf:
    output_size: 512
    attention_heads: 8
    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
    macaron_style: true
    rel_pos_type: latest
    pos_enc_layer_type: rel_pos
    selfattention_layer_type: rel_selfattn
    activation_type: swish
    use_cnn_module: true
    cnn_module_kernel: 31
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: 0.1
    src_attention_dropout_rate: 0.1
model_conf:
    ctc_weight: 0.3
    lsm_weight: 0.1
    length_normalized_loss: false
accum_grad: 2
max_epoch: 50
patience: none
init: none
best_model_criterion:
-   - valid
    - acc
    - max
keep_nbest_models: 10
optim: adam
optim_conf:
    lr: 0.0025
    weight_decay: 0.000001
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 40000
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:
    shuffle: True
    shuffle_conf:
        shuffle_size: 1024
        sort_size: 500
    batch_conf:
        batch_type: token
        batch_size: 10000
    num_workers: 8
log_interval: 50
normalize: None
egs/librispeech_100h/conf/train_asr_conformer_uttnorm.yaml
New file
@@ -0,0 +1,80 @@
encoder: conformer
encoder_conf:
    output_size: 512
    attention_heads: 8
    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
    macaron_style: true
    rel_pos_type: latest
    pos_enc_layer_type: rel_pos
    selfattention_layer_type: rel_selfattn
    activation_type: swish
    use_cnn_module: true
    cnn_module_kernel: 31
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: 0.1
    src_attention_dropout_rate: 0.1
model_conf:
    ctc_weight: 0.3
    lsm_weight: 0.1
    length_normalized_loss: false
accum_grad: 2
max_epoch: 50
patience: none
init: none
best_model_criterion:
-   - valid
    - acc
    - max
keep_nbest_models: 10
optim: adam
optim_conf:
    lr: 0.0025
    weight_decay: 0.000001
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 40000
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:
    shuffle: True
    shuffle_conf:
        shuffle_size: 1024
        sort_size: 500
    batch_conf:
        batch_type: token
        batch_size: 10000
    num_workers: 8
log_interval: 50
normalize: utterance_mvn