readme: ---
  tags:
  - espnet
  - audio
  - text-to-speech
  language: en
  datasets:
  - ljspeech
  license: cc-by-4.0
  ---
  
  ## ESPnet2 TTS model 
  
  ### `imdanboy/ljspeech_tts_train_jets_raw_phn_tacotron_g2p_en_no_space_train.total_count.ave`
  
  This model was trained by imdanboy using ljspeech recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout c173c30930631731e6836c274a591ad571749741
  pip install -e .
  cd egs2/ljspeech/tts1
  ./run.sh --skip_data_prep false --skip_train true --download_model imdanboy/ljspeech_tts_train_jets_raw_phn_tacotron_g2p_en_no_space_train.total_count.ave
  ```
  
  
  
  ## TTS config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_jets.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/tts_train_jets_raw_phn_tacotron_g2p_en_no_space
  ngpu: 1
  seed: 777
  num_workers: 4
  num_att_plot: 3
  dist_backend: nccl
  dist_init_method: env://
  dist_world_size: 4
  dist_rank: 0
  local_rank: 0
  dist_master_addr: localhost
  dist_master_port: 39471
  dist_launcher: null
  multiprocessing_distributed: true
  unused_parameters: true
  sharded_ddp: false
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: false
  collect_stats: false
  write_collected_feats: false
  max_epoch: 1000
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - text2mel_loss
      - min
  -   - train
      - text2mel_loss
      - min
  -   - train
      - total_count
      - max
  keep_nbest_models: 5
  nbest_averaging_interval: 0
  grad_clip: -1
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 1
  no_forward_run: false
  resume: true
  train_dtype: float32
  use_amp: false
  log_interval: 50
  use_matplotlib: true
  use_tensorboard: true
  use_wandb: false
  wandb_project: null
  wandb_id: null
  wandb_entity: null
  wandb_name: null
  wandb_model_log_interval: -1
  detect_anomaly: false
  pretrain_path: null
  init_param: []
  ignore_init_mismatch: false
  freeze_param: []
  num_iters_per_epoch: 1000
  batch_size: 20
  valid_batch_size: null
  batch_bins: 3000000
  valid_batch_bins: null
  train_shape_file:
  - exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/text_shape.phn
  - exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/speech_shape
  valid_shape_file:
  - exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/valid/text_shape.phn
  - exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/valid/speech_shape
  batch_type: numel
  valid_batch_type: null
  fold_length:
  - 150
  - 204800
  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/tr_no_dev/text
      - text
      - text
  -   - dump/raw/tr_no_dev/wav.scp
      - speech
      - sound
  -   - exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/collect_feats/pitch.scp
      - pitch
      - npy
  -   - exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/collect_feats/energy.scp
      - energy
      - npy
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev/text
      - text
      - text
  -   - dump/raw/dev/wav.scp
      - speech
      - sound
  -   - exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/valid/collect_feats/pitch.scp
      - pitch
      - npy
  -   - exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/valid/collect_feats/energy.scp
      - energy
      - npy
  allow_variable_data_keys: false
  max_cache_size: 0.0
  max_cache_fd: 32
  valid_max_cache_size: null
  optim: adamw
  optim_conf:
      lr: 0.0002
      betas:
      - 0.8
      - 0.99
      eps: 1.0e-09
      weight_decay: 0.0
  scheduler: exponentiallr
  scheduler_conf:
      gamma: 0.999875
  optim2: adamw
  optim2_conf:
      lr: 0.0002
      betas:
      - 0.8
      - 0.99
      eps: 1.0e-09
      weight_decay: 0.0
  scheduler2: exponentiallr
  scheduler2_conf:
      gamma: 0.999875
  generator_first: true
  token_list:
  - <blank>
  - <unk>
  - AH0
  - N
  - T
  - D
  - S
  - R
  - L
  - DH
  - K
  - Z
  - IH1
  - IH0
  - M
  - EH1
  - W
  - P
  - AE1
  - AH1
  - V
  - ER0
  - F
  - ','
  - AA1
  - B
  - HH
  - IY1
  - UW1
  - IY0
  - AO1
  - EY1
  - AY1
  - .
  - OW1
  - SH
  - NG
  - G
  - ER1
  - CH
  - JH
  - Y
  - AW1
  - TH
  - UH1
  - EH2
  - OW0
  - EY2
  - AO0
  - IH2
  - AE2
  - AY2
  - AA2
  - UW0
  - EH0
  - OY1
  - EY0
  - AO2
  - ZH
  - OW2
  - AE0
  - UW2
  - AH2
  - AY0
  - IY2
  - AW2
  - AA0
  - ''''
  - ER2
  - UH2
  - '?'
  - OY2
  - '!'
  - AW0
  - UH0
  - OY0
  - ..
  - <sos/eos>
  odim: null
  model_conf: {}
  use_preprocessor: true
  token_type: phn
  bpemodel: null
  non_linguistic_symbols: null
  cleaner: tacotron
  g2p: g2p_en_no_space
  feats_extract: fbank
  feats_extract_conf:
      n_fft: 1024
      hop_length: 256
      win_length: null
      fs: 22050
      fmin: 80
      fmax: 7600
      n_mels: 80
  normalize: global_mvn
  normalize_conf:
      stats_file: exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/feats_stats.npz
  tts: jets
  tts_conf:
      generator_type: jets_generator
      generator_params:
          adim: 256
          aheads: 2
          elayers: 4
          eunits: 1024
          dlayers: 4
          dunits: 1024
          positionwise_layer_type: conv1d
          positionwise_conv_kernel_size: 3
          duration_predictor_layers: 2
          duration_pre