ESPnet2 pretrained model, kan-bayashi/libritts_tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space_train.loss.ave, fs=24000, lang=en

See https://github.com/espnet/espnet_model_zoo

git clone https://github.com/espnet/espnet
cd espnet
git checkout 03ad07c43e7c8459b66bcd5cb6b18ddac3554662
pip install -e .
cd egs2/libritts/tts3
# Download the model file here
./run.sh --skip_data_prep false --skip_train true --download_model kan-bayashi/libritts_tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space_train.loss.ave

config: conf/tuning/train_xvector_transformer.yaml
print_config: false
log_level: INFO
dry_run: false
iterator_type: sequence
output_dir: exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space
ngpu: 1
seed: 0
num_workers: 1
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: 42072
dist_launcher: null
multiprocessing_distributed: true
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: true
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
    - loss
    - min
-   - train
    - loss
    - min
keep_nbest_models: 5
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
unused_parameters: false
use_tensorboard: true
use_wandb: false
wandb_project: null
wandb_id: null
pretrain_path: null
init_param: []
freeze_param: []
num_iters_per_epoch: 1000
batch_size: 20
valid_batch_size: null
batch_bins: 9000000
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
- 240000
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
-   - dump/xvector/tr_no_dev/xvector.scp
    - spembs
    - kaldi_ark
valid_data_path_and_name_and_type:
-   - dump/raw/dev/text
    - text
    - text
-   - dump/raw/dev/wav.scp
    - speech
    - sound
-   - dump/xvector/dev/xvector.scp
    - spembs
    - kaldi_ark
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: 512
    warmup_steps: 12000
token_list:
- 
- 
- AH0
- T
- N
- D
- S
- R
- L
- IH1
- DH
- M
- K
- Z
- EH1
- AE1
- IH0
- AH1
- W
- ','
- HH
- ER0
- P
- IY1
- V
- F
- B
- UW1
- AA1
- AY1
- AO1
- .
- EY1
- IY0
- OW1
- NG
- G
- SH
- Y
- AW1
- CH
- ER1
- UH1
- TH
- JH
- ''''
- '?'
- OW0
- EH2
- '!'
- IH2
- OY1
- EY2
- AY2
- EH0
- UW0
- AA2
- AE2
- OW2
- AO2
- AE0
- AH2
- ZH
- AA0
- UW2
- IY2
- AY0
- AO0
- AW2
- EY0
- UH2
- ER2
- AW0
- '...'
- UH0
- OY2
- . . .
- OY0
- . . . .
- ..
- . ...
- . .
- . . . . .
- .. ..
- '... .'
- 
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:
    fs: 24000
    fmin: 80
    fmax: 7600
    n_mels: 80
    hop_length: 300
    n_fft: 2048
    win_length: 1200
normalize: global_mvn
normalize_conf:
    stats_file: exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/feats_stats.npz
tts: transformer
tts_conf:
    embed_dim: 0
    eprenet_conv_layers: 0
    eprenet_conv_filts: 0
    eprenet_conv_chans: 0
    dprenet_layers: 2
    dprenet_units: 256
    adim: 512
    aheads: 8
    elayers: 6
    eunits: 1024
    dlayers: 6
    dunits: 1024
    positionwise_layer_type: conv1d
    positionwise_conv_kernel_size: 1
    postnet_layers: 5
    postnet_filts: 5
    postnet_chans: 256
    spk_embed_dim: 512
    spk_embed_integration_type: add
    use_masking: true
    bce_pos_weight: 5.0
    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
    eprenet_dropout_rate: 0.0
    dprenet_dropout_rate: 0.5
    postnet_dropout_rate: 0.5
    transformer_enc_dropout_rate: 0.1
    transformer_enc_positional_dropout_rate: 0.1
    transformer_enc_attn_dropout_rate: 0.1
    transformer_dec_dropout_rate: 0.1
    transformer_dec_positional_dropout_rate: 0.1
    transformer_dec_attn_dropout_rate: 0.1
    transformer_enc_dec_attn_dropout_rate: 0.1
    use_guided_attn_loss: true
    num_heads_applied_guided_attn: 2
    num_layers_applied_guided_attn: 2
    modules_applied_guided_attn:
    - encoder-decoder
    guided_attn_loss_sigma: 0.4
    guided_attn_loss_lambda: 10.0
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
distributed: true