readme: ---
  tags:
  - espnet
  - audio
  - text-to-speech
  language:
  - bci
  datasets:
  - afrilang-bci
  license: apache-2.0
  metrics:
  - mos
  ---
  
  ## ESPnet2 TTS model 
  
  ### ``
  
  This model was trained by  using  recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  
  pip install -e .
  cd egs2/afrilang-bci/tts1
  ./run.sh --skip_data_prep false --skip_train true --download_model 
  ```
  
  
  
  ## TTS config
  
  <details><summary>expand</summary>
  
  ```
  config: ./conf/train_vits.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/44k/tts_train_vits_raw_char_tacotron
  ngpu: 1
  seed: 777
  num_workers: 4
  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: true
  sharded_ddp: false
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: false
  collect_stats: false
  write_collected_feats: false
  max_epoch: 20
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - train
      - total_count
      - max
  keep_nbest_models: 2
  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: 5
  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: 20
  batch_size: 20
  valid_batch_size: null
  batch_bins: 500
  valid_batch_bins: null
  train_shape_file:
  - exp/44k/tts_stats_raw_linear_spectrogram_char_tacotron/train/text_shape.char
  - exp/44k/tts_stats_raw_linear_spectrogram_char_tacotron/train/speech_shape
  valid_shape_file:
  - exp/44k/tts_stats_raw_linear_spectrogram_char_tacotron/valid/text_shape.char
  - exp/44k/tts_stats_raw_linear_spectrogram_char_tacotron/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/org/train/text
      - text
      - text
  -   - dump/raw/org/train/wav.scp
      - speech
      - sound
  valid_data_path_and_name_and_type:
  -   - dump/raw/org/test/text
      - text
      - text
  -   - dump/raw/org/test/wav.scp
      - speech
      - sound
  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: false
  token_list:
  - <blank>
  - <unk>
  - <space>
  - N
  - E
  - A
  - I
  - O
  - U
  - L
  - K
  - M
  - S
  - B
  - W
  - T
  - F
  - R
  - Y
  - Z
  - D
  - G
  - J
  - P
  - C
  - V
  - <sos/eos>
  odim: null
  model_conf: {}
  use_preprocessor: true
  token_type: char
  bpemodel: null
  non_linguistic_symbols: null
  cleaner: tacotron
  g2p: g2p_en
  feats_extract: linear_spectrogram
  feats_extract_conf:
      n_fft: 1024
      hop_length: 256
      win_length: null
  normalize: null
  normalize_conf: {}
  tts: vits
  tts_conf:
      generator_type: vits_generator
      generator_params:
          hidden_channels: 192
          spks: -1
          global_channels: -1
          segment_size: 32
          text_encoder_attention_heads: 2
          text_encoder_ffn_expand: 4
          text_encoder_blocks: 6
          text_encoder_positionwise_layer_type: conv1d
          text_encoder_positionwise_conv_kernel_size: 3
          text_encoder_positional_encoding_layer_type: rel_pos
          text_encoder_self_attention_layer_type: rel_selfattn
          text_encoder_activation_type: swish
          text_encoder_normalize_before: true
          text_encoder_dropout_rate: 0.1
          text_encoder_positional_dropout_rate: 0.0
          text_encoder_attention_dropout_rate: 0.1
          use_macaron_style_in_text_encoder: true
          use_conformer_conv_in_text_encoder: false
          text_encoder_conformer_kernel_size: -1
          decoder_kernel_size: 7
          decoder_channels: 512
          decoder_upsample_scales:
          - 8
          - 8
          - 2
          - 2
          decoder_upsample_kernel_sizes:
          - 16
          - 16
          - 4
          - 4
          decoder_resblock_kernel_sizes:
          - 3
          - 7
          - 11
          decoder_resblock_dilations:
          -   - 1
              - 3
              - 5
          -   - 1
              - 3
              - 5
          -   - 1
              - 3
              - 5
          use_weight_norm_in_decoder: true
          posterior_encoder_kernel_size: 5
          posterior_encoder_lay