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ESPnet2 pretrained model, kamo-naoyuki/mini_an4_asr_train_raw_bpe_valid.acc.best, fs=16k, lang=en

kamo-naoyuki

This model was trained by kamo-naoyuki using mini_an4 recipe in espnet.

 

  • Python API
    See https://github.com/espnet/espnet_model_zoo
  • Evaluate in the recipe
    git clone https://github.com/espnet/espnet
    cd espnet
    git checkout 2a994ca15dba7b4b97c3608e1105e1ec52921384
    pip install -e .
    cd egs2/mini_an4/asr1
    ./run.sh --skip_data_prep false --skip_train true --download_model kamo-naoyuki/mini_an4_asr_train_raw_bpe_valid.acc.best
    
  • Results
    
    # RESULTS
    ## Environments
    - date: `Thu Jul 23 03:18:58 JST 2020`
    - python version: `3.7.3 (default, Mar 27 2019, 22:11:17)  [GCC 7.3.0]`
    - espnet version: `espnet 0.8.0`
    - pytorch version: `pytorch 1.0.1`
    - Git hash: `31794e2aec89e6159c1ac32643d4c09989200a30`
      - Commit date: `Thu Jul 23 03:17:45 2020 +0900`
    
    ## asr_train_raw_bpe
    ### WER
    
    |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
    |---|---|---|---|---|---|---|---|---|
    |decode_test_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|2|10|0.0|20.0|80.0|0.0|100.0|100.0|
    |decode_test_seg_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|2|10|0.0|20.0|80.0|0.0|100.0|100.0|
    |decode_train_dev_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|1|1|0.0|100.0|0.0|0.0|100.0|100.0|
    
    ### CER
    
    |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
    |---|---|---|---|---|---|---|---|---|
    |decode_test_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|2|67|53.7|44.8|1.5|206.0|252.2|100.0|
    |decode_test_seg_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|2|67|53.7|44.8|1.5|206.0|252.2|100.0|
    |decode_train_dev_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|1|3|33.3|66.7|0.0|1200.0|1266.7|100.0|
    
    ### TER
    
    |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
    |---|---|---|---|---|---|---|---|---|
    |decode_test_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|2|45|15.6|82.2|2.2|208.9|293.3|100.0|
    |decode_test_seg_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|2|45|15.6|82.2|2.2|208.9|293.3|100.0|
    |decode_train_dev_decode_lm_train_bpe_valid.loss.best_asr_model_valid.acc.best|1|4|25.0|75.0|0.0|550.0|625.0|100.0|
  • ASR config
    config: null
    print_config: false
    log_level: INFO
    dry_run: false
    iterator_type: sequence
    output_dir: exp/asr_train_raw_bpe
    ngpu: 1
    seed: 0
    num_workers: 1
    num_att_plot: 3
    dist_backend: nccl
    dist_init_method: env://
    dist_world_size: null
    dist_rank: null
    local_rank: 0
    dist_master_addr: null
    dist_master_port: null
    dist_launcher: null
    multiprocessing_distributed: false
    cudnn_enabled: true
    cudnn_benchmark: false
    cudnn_deterministic: true
    collect_stats: false
    write_collected_feats: false
    max_epoch: 40
    patience: null
    val_scheduler_criterion:
    - valid
    - loss
    early_stopping_criterion:
    - valid
    - loss
    - min
    best_model_criterion:
    -   - train
        - loss
        - min
    -   - valid
        - loss
        - min
    -   - train
        - acc
        - max
    -   - valid
        - acc
        - max
    keep_nbest_models: 10
    grad_clip: 5.0
    grad_noise: false
    accum_grad: 1
    no_forward_run: false
    resume: true
    train_dtype: float32
    log_interval: null
    pretrain_path: []
    pretrain_key: []
    num_iters_per_epoch: null
    batch_size: 20
    valid_batch_size: null
    batch_bins: 1000000
    valid_batch_bins: null
    train_shape_file:
    - exp/asr_stats_raw/train/speech_shape
    - exp/asr_stats_raw/train/text_shape.bpe
    valid_shape_file:
    - exp/asr_stats_raw/valid/speech_shape
    - exp/asr_stats_raw/valid/text_shape.bpe
    batch_type: folded
    valid_batch_type: null
    fold_length:
    - 80000
    - 150
    sort_in_batch: descending
    sort_batch: descending
    multiple_iterator: false
    chunk_length: 500
    chunk_shift_ratio: 0.5
    num_cache_chunks: 1024
    train_data_path_and_name_and_type:
    -   - dump/raw/train_nodev/wav.scp
        - speech
        - sound
    -   - dump/raw/train_nodev/text
        - text
        - text
    valid_data_path_and_name_and_type:
    -   - dump/raw/train_dev/wav.scp
        - speech
        - sound
    -   - dump/raw/train_dev/text
        - text
        - text
    allow_variable_data_keys: false
    max_cache_size: 0.0
    valid_max_cache_size: null
    optim: adadelta
    optim_conf: {}
    scheduler: null
    scheduler_conf: {}
    token_list:
    - 
    - 
    - T
    - "\u2581"
    - I
    - H
    - G
    - O
    - AR
    - "\u2581T"
    - NE
    - E
    - EN
    - Y
    - "\u2581E"
    - "\u2581S"
    - EVEN
    - F
    - M
    - C
    - R
    - D
    - N
    - W
    - ENT
    - L
    - 
    init: null
    input_size: null
    ctc_conf:
        dropout_rate: 0.0
        ctc_type: builtin
        reduce: true
    model_conf:
        ctc_weight: 0.5
        ignore_id: -1
        lsm_weight: 0.0
        length_normalized_loss: false
        report_cer: true
        report_wer: true
        sym_space: 
        sym_blank: 
    use_preprocessor: true
    token_type: bpe
    bpemodel: data/token_list/bpe_unigram30/bpe.model
    non_linguistic_symbols: null
    cleaner: null
    g2p: null
    frontend: default
    frontend_conf:
        fs: 16k
    specaug: null
    specaug_conf: {}
    normalize: global_mvn
    normalize_conf:
        stats_file: exp/asr_stats_raw/train/feats_stats.npz
    encoder: rnn
    encoder_conf: {}
    decoder: rnn
    decoder_conf: {}
    required:
    - output_dir
    - token_list
    distributed: false
  • LM config
    config: null
    print_config: false
    log_level: INFO
    dry_run: false
    iterator_type: sequence
    output_dir: exp/lm_train_bpe
    ngpu: 1
    seed: 0
    num_workers: 1
    num_att_plot: 3
    dist_backend: nccl
    dist_init_method: env://
    dist_world_size: null
    dist_rank: null
    local_rank: 0
    dist_master_addr: null
    dist_master_port: null
    dist_launcher: null
    multiprocessing_distributed: false
    cudnn_enabled: true
    cudnn_benchmark: false
    cudnn_deterministic: true
    collect_stats: false
    write_collected_feats: false
    max_epoch: 40
    patience: null
    val_scheduler_criterion:
    - valid
    - loss
    early_stopping_criterion:
    - valid
    - loss
    - min
    best_model_criterion:
    -   - train
        - loss
        - min
    -   - valid
        - loss
        - min
    -   - train
        - acc
        - max
    -   - valid
        - acc
        - max
    keep_nbest_models: 10
    grad_clip: 5.0
    grad_noise: false
    accum_grad: 1
    no_forward_run: false
    resume: true
    train_dtype: float32
    log_interval: null
    pretrain_path: []
    pretrain_key: []
    num_iters_per_epoch: null
    batch_size: 20
    valid_batch_size: null
    batch_bins: 1000000
    valid_batch_bins: null
    train_shape_file:
    - exp/lm_stats/train/text_shape.bpe
    valid_shape_file:
    - exp/lm_stats/valid/text_shape.bpe
    batch_type: folded
    valid_batch_type: null
    fold_length:
    - 150
    sort_in_batch: descending
    sort_batch: descending
    multiple_iterator: false
    chunk_length: 500
    chunk_shift_ratio: 0.5
    num_cache_chunks: 1024
    train_data_path_and_name_and_type:
    -   - dump/raw/srctexts
        - text
        - text
    valid_data_path_and_name_and_type:
    -   - dump/raw/train_dev/text
        - text
        - text
    allow_variable_data_keys: false
    max_cache_size: 0.0
    valid_max_cache_size: null
    optim: adadelta
    optim_conf: {}
    scheduler: null
    scheduler_conf: {}
    token_list:
    - 
    - 
    - T
    - "\u2581"
    - I
    - H
    - G
    - O
    - AR
    - "\u2581T"
    - NE
    - E
    - EN
    - Y
    - "\u2581E"
    - "\u2581S"
    - EVEN
    - F
    - M
    - C
    - R
    - D
    - N
    - W
    - ENT
    - L
    - 
    init: null
    model_conf:
        ignore_id: 0
    use_preprocessor: true
    token_type: bpe
    bpemodel: data/token_list/bpe_unigram30/bpe.model
    non_linguistic_symbols: null
    cleaner: null
    g2p: null
    lm: seq_rnn
    lm_conf: {}
    required:
    - output_dir
    - token_list
    distributed: false
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