readme: ---
  tags:
  - text-to-speech
  - gronings
  - Tacotron 2
  language: gos
  datasets:
  - gronings
  ---
  ## GroTTS Model 
  
  This model is trained with the [Tacotron 2](https://arxiv.org/abs/1712.05884) architecture using approx. 2 hours of Gronings TTS dataset. For the best results, you need to download the vocoder separately from [here](https://huggingface.co/ahnafsamin/parallelwavegan-gronings) and then use the following code:
  ```
  from espnet2.bin.tts_inference import Text2Speech
  from scipy.io.wavfile import write
  
  model = Text2Speech.from_pretrained(
      model_file="path_to_the_model_file_in_pth_format",
      vocoder_file="path_to_the_vocoder_file_in_pkl_format"
  )
  output = model("This is a simple test.")
  write("x.wav", 22050, output['wav'].numpy())
  ```
  
  
  ## TTS config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/train.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/tts_train_raw_char_tacotron
  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: 200
  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: 2
  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: 1000
  batch_size: 20
  valid_batch_size: null
  batch_bins: 2000000
  valid_batch_bins: null
  train_shape_file:
  - exp/tts_stats_raw_char_tacotron/train/text_shape.char
  - exp/tts_stats_raw_char_tacotron/train/speech_shape
  valid_shape_file:
  - exp/tts_stats_raw_char_tacotron/valid/text_shape.char
  - exp/tts_stats_raw_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/tr_no_dev/text
      - text
      - text
  -   - dump/raw/tr_no_dev/wav.scp
      - speech
      - sound
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev/text
      - text
      - text
  -   - dump/raw/dev/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: 0.001
      eps: 1.0e-06
      weight_decay: 0.0
  scheduler: null
  scheduler_conf: {}
  token_list:
  - <blank>
  - <unk>
  - <space>
  - E
  - N
  - A
  - O
  - T
  - I
  - R
  - D
  - L
  - S
  - K
  - M
  - G
  - U
  - H
  - .
  - W
  - V
  - Z
  - P
  - B
  - ','
  - J
  - C
  - F
  - '?'
  - ''''
  - '!'
  - Y
  - X
  - '`'
  - <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: 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_char_tacotron/train/feats_stats.npz
  tts: tacotron2
  tts_conf:
      embed_dim: 512
      elayers: 1
      eunits: 512
      econv_layers: 3
      econv_chans: 512
      econv_filts: 5
      atype: location
      adim: 512
      aconv_chans: 32
      aconv_filts: 15
      cumulate_att_w: true
      dlayers: 2
      dunits: 1024
      prenet_layers: 2
      prenet_units: 256
      postnet_layers: 5
      postnet_chans: 512
      postnet_filts: 5
      output_activation: null
      use_batch_norm: true
      use_concate: true
      use_residual: false
      dropout_rate: 0.5
      zoneout_rate: 0.1
      reduction_factor: 1
      spk_embed_dim: null
      use_masking: true
      bce_pos_weight: 5.0
      use_guided_attn_loss: true
      guided_attn_loss_sigma: 0.4
      guided_attn_loss_lambda: 1.0
  pitch_extract: null
  pitch_extract_conf: {}
  pitch_normalize: null
  pitch_normalize_conf: {}
  energy_extract: null
  energy_extract_conf: {}
  energy_normalize: null
  energy_normalize_conf: {}
  required:
  - output_dir
  - token_list
  version: 0.10.7a1
  distributed: false
  
  
  ```
  </details>