
## ESPnet2 TTS model

### `winniech/espnet2_pretrained_aishell3_vits_tts_train_raw_phn_pypinyin_g2p_phone`

This model was trained by winniech using aishell3 recipe in [espnet](https://github.com/espnet/espnet/).

## TTS config

```
config: conf/train.yaml
print_config: false
log_level: INFO
dry_run: false
iterator_type: sequence
output_dir: exp/22k/tts_train_raw_phn_pypinyin_g2p_phone
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: 1000
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - train
    - total_count
    - max
keep_nbest_models: 10
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
create_graph_in_tensorboard: false
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: 1250000
valid_batch_bins: null
train_shape_file:
- exp/22k/tts_stats_raw_linear_spectrogram_phn_pypinyin_g2p_phone/train/text_shape.phn
- exp/22k/tts_stats_raw_linear_spectrogram_phn_pypinyin_g2p_phone/train/speech_shape
valid_shape_file:
- exp/22k/tts_stats_raw_linear_spectrogram_phn_pypinyin_g2p_phone/valid/text_shape.phn
- exp/22k/tts_stats_raw_linear_spectrogram_phn_pypinyin_g2p_phone/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
chunk_excluded_key_prefixes: []
train_data_path_and_name_and_type:
-   - dump/22k/raw/train_no_dev/text
    - text
    - text
-   - dump/22k/raw/train_no_dev/wav.scp
    - speech
    - sound
-   - dump/22k/xvector/train_no_dev/xvector.scp
    - spembs
    - kaldi_ark
valid_data_path_and_name_and_type:
-   - dump/22k/raw/dev/text
    - text
    - text
-   - dump/22k/raw/dev/wav.scp
    - speech
    - sound
-   - dump/22k/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
exclude_weight_decay: false
exclude_weight_decay_conf: {}
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>
- d
- sh
- j
- i4
- zh
- l
- x
- e
- b
- g
- i1
- h
- q
- m
- t
- i2
- u4
- z
- ch
- i3
- f
- s
- n
- iou3
- r
- ian4
- ong1
- uei4
- e4
- en2
- ai4
- k
- ing2
- a1
- uo3
- u3
- ao4
- p
- an1
- eng2
- e2
- in1
- c
- ai2
- an4
- ian2
- u2
- ang4
- ian1
- ai3
- ing1
- ao3
- uo4
- ian3
- ing4
- ü4
- ang1
- u1
- iao4
- eng1
- iou4
- a4
- üan2
- ie4
- ou4
- er4
- en1
- ong2
- e1
- an3
- ei4
- uo2
- ou3
- ang2
- iang4
- ou1
- ang3
- an2
- eng4
- ong4
- uan4
- a3
- ia4
- ia1
- iao1
- iang1
- iou2
- uo1
- ei3
- iao3
- in4
- e3
- ü3
- iang3
- uei2
- en3
- uan1
- ie3
- ao1
- ai1
- üe4
- ü2
- ing3
- en4
- uei1
- er2
- uan3
- ü1
- in3
- en
- üe2
- ie2
- ei2
- ua4
- uan2
- in2
- a2
- ie1
- iang2
- ou2
- ong3
- uang3
- eng3
- uen1
- uai4
- ün4
- uang4
- uei3
- uen2
- uen4
- i
- iong4
- v3
- iao2
- üan4
- uang1
- ei1
- o2
- iou1
- uang2
- a
- ao2
- o1
- ua2
- uen3
- ua1
- v4
- üan3
- ün1
- üe1
- ün2
- o4
- er3
- iong3
- üan1
- ia3
- ia2
- iong1
- üe3
- ve4
- iong2
- uai2
- er
- ua3
- uai1
- ou
- ün3
- uai3
- ia
- uo
- o3
- v2
- ueng1
- o
- ei
- ua
- io1
- <sos/eos>
odim: null
model_conf: {}
use_preprocessor: true
token_type: phn
bpemodel: null
non_linguistic_symbols: null
cleaner: null
g2p: pypinyin_g2p_phone
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
        spk_embed_dim: 512
        global_channels: 256
        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_layers: 16
        posterior_encoder_stacks: 1
        posterior_encoder_base_dilation: 1
        posterior_encoder_dropout_rate: 0.0
        use_weight_norm_in_posterior_encoder: true
        flow_flows: 4
        flow_kernel_size: 5
        flow_base_dilation: 1
        flow_layers: 4
        flow_dropout_rate: 0.0
        use_weight_norm_in_flow: true
        use_only_mean_in_flow: true
        stochastic_duration_predictor_kernel_size: 3
        stochastic_duration_predictor_dropout_rate: 0.5
        stochastic_duration_predictor_flows: 4
        stochastic_duration_predictor_dds_conv_layers: 3
        vocabs: 180
        aux_channels: 513
    discriminator_type: hifigan_multi_scale_multi_period_discriminator
    discriminator_params:
        scales: 1
        scale_downsample_pooling: AvgPool1d
        scale_downsample_pooling_params:
            kernel_size: 4
            stride: 2
            padding: 2
        scale_discriminator_params:
            in_channels: 1
            out_channels: 1
            kernel_sizes:
            - 15
            - 41
            - 5
            - 3
            channels: 128
            max_downsample_channels: 1024
            max_groups: 16
            bias: true
            downsample_scales:
            - 2
            - 2
            - 4
            - 4
            - 1
            nonlinear_activation: LeakyReLU
            nonlinear_activation_params:
                negative_slope: 0.1
            use_weight_norm: true
            use_spectral_norm: false
        follow_official_norm: false
        periods:
        - 2
        - 3
        - 5
        - 7
        - 11
        period_discriminator_params:
            in_channels: 1
            out_channels: 1
            kernel_sizes:
            - 5
            - 3
            channels: 32
            downsample_scales:
            - 3
            - 3
            - 3
            - 3
            - 1
            max_downsample_channels: 1024
            bias: true
            nonlinear_activation: LeakyReLU
            nonlinear_activation_params:
                negative_slope: 0.1
            use_weight_norm: true
            use_spectral_norm: false
    generator_adv_loss_params:
        average_by_discriminators: false
        loss_type: mse
    discriminator_adv_loss_params:
        average_by_discriminators: false
        loss_type: mse
    feat_match_loss_params:
        average_by_discriminators: false
        average_by_layers: false
        include_final_outputs: true
    mel_loss_params:
        fs: 22050
        n_fft: 1024
        hop_length: 256
        win_length: null
        window: hann
        n_mels: 80
        fmin: 0
        fmax: null
        log_base: null
    lambda_adv: 1.0
    lambda_mel: 45.0
    lambda_feat_match: 2.0
    lambda_dur: 1.0
    lambda_kl: 1.0
    sampling_rate: 22050
    cache_generator_outputs: true
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: '202301'
distributed: false
```

{"language": "zh", "license": "cc-by-4.0", "tags": ["espnet", "audio", "text-to-speech"], "datasets": ["aishell3"]}
espnet audio text-to-speech zh dataset:aishell3 license:cc-by-4.0 region:us
TAGS
#espnet #audio #text-to-speech #zh #dataset-aishell3 #license-cc-by-4.0 #region-us 


## ESPnet2 TTS model

### 'winniech/espnet2_pretrained_aishell3_vits_tts_train_raw_phn_pypinyin_g2p_phone'

This model was trained by winniech using aishell3 recipe in espnet.

## TTS config



## ESPnet2 TTS model ### 'winniech/espnet2_pretrained_aishell3_vits_tts_train_raw_phn_pypinyin_g2p_phone'

This model was trained by winniech using aishell3 recipe in espnet. ## TTS config
TAGS
#espnet #audio #text-to-speech #zh #dataset-aishell3 #license-cc-by-4.0 #region-us 
 ## ESPnet2 TTS model ### 'winniech/espnet2_pretrained_aishell3_vits_tts_train_raw_phn_pypinyin_g2p_phone'

This model was trained by winniech using aishell3 recipe in espnet. ## TTS config
TAGS
#espnet #audio #text-to-speech #zh #dataset-aishell3 #license-cc-by-4.0 #region-us 
## ESPnet2 TTS model### 'winniech/espnet2_pretrained_aishell3_vits_tts_train_raw_phn_pypinyin_g2p_phone'

This model was trained by winniech using aishell3 recipe in espnet.## TTS config