readme: ---
  tags:
  - espnet
  - audio
  - text-to-speech
  language: en
  datasets:
  - talromur
  license: cc-by-4.0
  ---
  
  ## ESPnet2 TTS model 
  
  ### `espnet/GunnarThor_talromur_a_fastspeech2`
  
  This model was trained by Gunnar Thor using talromur recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout 49a284e69308d81c142b89795de255b4ce290c54
  pip install -e .
  cd egs2/talromur/tts1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/GunnarThor_talromur_a_fastspeech2
  ```
  
  
  
  ## TTS config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_fastspeech2.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/a/tts_train_fastspeech2_raw_phn_none
  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
  unused_parameters: false
  sharded_ddp: false
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: true
  collect_stats: false
  write_collected_feats: false
  max_epoch: 100
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - loss
      - min
  -   - train
      - loss
      - min
  keep_nbest_models: 5
  nbest_averaging_interval: 0
  grad_clip: 1.0
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 8
  no_forward_run: false
  resume: true
  train_dtype: float32
  use_amp: false
  log_interval: null
  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: 800
  batch_size: 20
  valid_batch_size: null
  batch_bins: 2500000
  valid_batch_bins: null
  train_shape_file:
  - exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/text_shape.phn
  - exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/speech_shape
  valid_shape_file:
  - exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/valid/text_shape.phn
  - exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/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/train_a_phn/text
      - text
      - text
  -   - exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/train_a_phn/durations
      - durations
      - text_int
  -   - dump/raw/train_a_phn/wav.scp
      - speech
      - sound
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev_a_phn/text
      - text
      - text
  -   - exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/dev_a_phn/durations
      - durations
      - text_int
  -   - dump/raw/dev_a_phn/wav.scp
      - speech
      - sound
  allow_variable_data_keys: false
  max_cache_size: 0.0
  max_cache_fd: 32
  valid_max_cache_size: null
  optim: adam
  optim_conf:
      lr: 1.0
  scheduler: noamlr
  scheduler_conf:
      model_size: 384
      warmup_steps: 4000
  token_list:
  - <blank>
  - <unk>
  - ','
  - .
  - r
  - t
  - n
  - a0
  - s
  - I0
  - D
  - l
  - m
  - Y0
  - v
  - h
  - E1
  - k
  - a:1
  - E:1
  - G
  - f
  - j
  - T
  - a1
  - p
  - c
  - au:1
  - i:1
  - O:1
  - I:1
  - E0
  - I1
  - r_0
  - t_h
  - k_h
  - Y1
  - ei1
  - i0
  - ou:1
  - ei:1
  - u:1
  - O1
  - N
  - l_0
  - '91'
  - ai0
  - au1
  - ou0
  - n_0
  - ei0
  - ai:1
  - O0
  - ou1
  - ai1
  - i1
  - '9:1'
  - '90'
  - au0
  - x
  - c_h
  - 9i:1
  - C
  - p_h
  - u0
  - Y:1
  - J
  - 9i1
  - u1
  - 9i0
  - N_0
  - m_0
  - J_0
  - Yi0
  - Oi1
  - Yi1
  - Oi0
  - au:0
  - '9:0'
  - E:0
  - <sos/eos>
  odim: null
  model_conf: {}
  use_preprocessor: true
  token_type: phn
  bpemodel: null
  non_linguistic_symbols: null
  cleaner: null
  g2p: null
  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/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/feats_stats.npz
  tts: fastspeech2
  tts_conf:
      adim: 384
      aheads: 2
      elayers: 4
      eunits: 1536
      dlayers: 4
      dunits: 1536
      positionwise_layer_type: conv1d
      positionwise_conv_kernel_size: 3
      duration_predictor_layers: 2
      duration_predictor_chans: 256
      duration_predictor_kernel_size: 3
      postnet_layers: 5
      postnet_filts: 5
      postnet_chans: 256
      use_masking: true
      use_scaled_pos_enc: true
      encoder_normalize_before: true
      decoder_normalize_before: true
      reduction_factor: 1
      init_type: xavier_uniform
      init_enc_alpha: 1.0
      init_dec_alpha: 1.0
      transformer_enc_dropout_rate: 0.2
      transformer_en