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espnet/visinger2-zh-jp-multisinger-svs, a multilingual (Chinese and Japanese) singing voice synthesis (SVS) component. It is a key part of the SingingSDS: A Singing-Capable Spoken Dialogue System for Conversational Roleplay Applications project.
1cd espnet
2git checkout c9a3878a76e1b738ccfc3aa96912d14e0e2d3134
3pip install -e .
4cd egs2/mixed/svs1
5./run.sh --skip_data_prep false --skip_train true --download_model espnet/visinger2-zh-jp-multisinger-svsconfig: conf/tuning/train_visinger2_spk_embed_lang.yaml
print_config: false
log_level: INFO
drop_last_iter: false
dry_run: false
iterator_type: sequence
valid_iterator_type: null
output_dir: exp/svs_train_visinger2_spk_embed_lang_1019
ngpu: 1
seed: 777
num_workers: 0
num_att_plot: 0
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
use_deepspeed: false
deepspeed_config: null
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: false
use_tf32: false
collect_stats: false
write_collected_feats: false
max_epoch: 500
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
- - train
- total_count
- max
keep_nbest_models: 15
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
use_adapter: false
adapter: lora
save_strategy: all
adapter_conf: {}
pretrain_path: null
init_param: []
ignore_init_mismatch: false
freeze_param: []
num_iters_per_epoch: 1000
batch_size: 8
valid_batch_size: null
batch_bins: 1000000
valid_batch_bins: null
category_sample_size: 10
train_shape_file:
- exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/train/text_shape.phn
- exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/train/singing_shape
valid_shape_file:
- exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/valid/text_shape.phn
- exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/valid/singing_shape
batch_type: sorted
valid_batch_type: null
fold_length:
- 150
- 409600
sort_in_batch: descending
shuffle_within_batch: false
sort_batch: descending
multiple_iterator: false
chunk_length: 500
chunk_shift_ratio: 0.5
num_cache_chunks: 1024
chunk_excluded_key_prefixes: []
chunk_default_fs: null
chunk_max_abs_length: null
chunk_discard_short_samples: true
train_data_path_and_name_and_type:
- - dump44100_1019/raw/tr_no_dev/text
- text
- text
- - dump44100_1019/raw/tr_no_dev/wav.scp
- singing
- sound
- - dump44100_1019/raw/tr_no_dev/label
- label
- duration
- - dump44100_1019/raw/tr_no_dev/score.scp
- score
- score
- - exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/train/collect_feats/pitch.scp
- pitch
- npy
- - exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/train/collect_feats/feats.scp
- feats
- npy
- - dump44100_1019/espnet_spk/tr_no_dev/espnet_spk.scp
- spembs
- kaldi_ark
- - dump44100_1019/raw/tr_no_dev/utt2lid
- lids
- text_int
valid_data_path_and_name_and_type:
- - dump44100_1019/raw/dev/text
- text
- text
- - dump44100_1019/raw/dev/wav.scp
- singing
- sound
- - dump44100_1019/raw/dev/label
- label
- duration
- - dump44100_1019/raw/dev/score.scp
- score
- score
- - exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/valid/collect_feats/pitch.scp
- pitch
- npy
- - exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/valid/collect_feats/feats.scp
- feats
- npy
- - dump44100_1019/espnet_spk/dev/espnet_spk.scp
- spembs
- kaldi_ark
- - dump44100_1019/raw/dev/utt2lid
- lids
- text_int
multi_task_dataset: false
allow_variable_data_keys: false
max_cache_size: 0.0
max_cache_fd: 32
allow_multi_rates: false
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: 0.998
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: 0.998
generator_first: true
skip_discriminator_prob: 0.0
input_size: null
token_list:
- <blank>
- <unk>
- SP
- i@zh
- e@zh
- d@zh
- y@zh
- uo@zh
- sh@zh
- ian@zh
- ai@zh
- w@zh
- n@zh
- u@zh
- x@zh
- j@zh
- l@zh
- h@zh
- b@zh
- iii@zh
- zh@zh
- uei@zh
- m@zh
- ing@zh
- q@zh
- g@zh
- eng@zh
- z@zh
- a@zh
- an@zh
- en@zh
- iou@zh
- ao@zh
- t@zh
- ou@zh
- iang@zh
- AP
- ong@zh
- ang@zh
- ei@zh
- iao@zh
- ie@zh
- f@zh
- r@zh
- k@zh
- ch@zh
- v@zh
- in@zh
- uan@zh
- c@zh
- uang@zh
- s@zh
- a@jp
- ii@zh
- van@zh
- p@zh
- ve@zh
- o@jp
- i@jp
- ia@zh
- uen@zh
- ua@zh
- iong@zh
- u@jp
- e@jp
- k@jp
- uai@zh
- n@jp
- t@jp
- r@jp
- m@jp
- er@zh
- vn@zh
- s@jp
- d@jp
- w@jp
- o@zh
- sh@jp
- g@jp
- N@jp
- y@jp
- b@jp
- ts@jp
- h@jp
- z@jp
- cl@jp
- ch@jp
- j@jp
- f@jp
- p@jp
- ky@jp
- ry@jp
- gy@jp
- ny@jp
- hy@jp
- my@jp
- by@jp
- py@jp
- ty@jp
- dy@jp
- v@jp
- <sos/eos>
odim: null
model_conf: {}
use_preprocessor: true
token_type: phn
bpemodel: null
non_linguistic_symbols: null
cleaner: null
g2p: null
fs: 44100
postfrontend: null
postfrontend_conf: {}
score_feats_extract: syllable_score_feats
score_feats_extract_conf:
fs: 44100
n_fft: 2048
win_length: 2048
hop_length: 512
feats_extract: fbank
feats_extract_conf:
n_fft: 2048
hop_length: 512
win_length: 2048
fs: 44100
fmin: 80
fmax: 22050
n_mels: 80
normalize: global_mvn
normalize_conf:
stats_file: exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/train/feats_stats.npz
svs: vits
svs_conf:
generator_type: visinger2
vocoder_generator_type: visinger2
generator_params:
hidden_channels: 192
spk_embed_dim: 192
langs: 3
global_channels: 256
segment_size: 20
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: 256
decoder_upsample_scales:
- 8
- 8
- 4
- 2
decoder_upsample_kernel_sizes:
- 16
- 16
- 8
- 4
n_harmonic: 64
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: 3
posterior_encoder_layers: 8
posterior_encoder_stacks: 1
posterior_encoder_base_dilation: 1
posterior_encoder_dropout_rate: 0.0
use_weight_norm_in_posterior_encoder: true
flow_flows: -1
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
use_phoneme_predictor: false
hubert_channels: null
vocabs: 102
aux_channels: 80
generator_type: visinger2
vocoder_generator_type: visinger2
fs: 44100
hop_length: 512
win_length: 2048
n_fft: 2048
discriminator_type: visinger2
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: 256
bias: true
downsample_scales:
- 4
- 4
- 4
- 4
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
multi_freq_disc_params:
hidden_channels:
- 256
- 256
- 256
- 256
- 256
domain: double
mel_scale: true
divisors:
- 32
- 16
- 8
- 4
- 2
- 1
- 1
strides:
- 1
- 2
- 1
- 2
- 1
- 2
- 1
sample_rate: 44100
hop_lengths:
- 110
- 220
- 330
- 441
- 551
- 661
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: 44100
n_fft: 2048
hop_length: 512
win_length: 2048
window: hann
n_mels: 80
fmin: 0
fmax: 22050
log_base: null
lambda_adv: 1.0
lambda_mel: 45.0
lambda_feat_match: 2.0
lambda_dur: 0.1
lambda_pitch: 10.0
lambda_phoneme: 1.0
lambda_kl: 1.0
sampling_rate: 44100
cache_generator_outputs: true
pitch_extract: dio
pitch_extract_conf:
use_token_averaged_f0: false
use_log_f0: false
fs: 44100
n_fft: 2048
hop_length: 512
f0max: 810
f0min: 80
pitch_normalize: null
pitch_normalize_conf:
stats_file: exp/svs_stats_raw_phn_None_zh_jp_44100Hz_1019/train/pitch_stats.npz
ying_extract: null
ying_extract_conf: {}
energy_extract: null
energy_extract_conf: {}
energy_normalize: null
energy_normalize_conf: {}
required:
- output_dir
- token_list
version: '202412'
distributed: false1@inproceedings{wu2024muskits-espnet,
2author = {Wu, Yuning and Shi, Jiatong and Yu, Yifeng and Tang, Yuxun and Qian, Tao and Lin, Yueqian and Han, Jionghao and Bai, Xinyi and Watanabe, Shinji and Jin, Qin},
3title = {Muskits-ESPnet: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm},
4year = {2024},
5booktitle = {Proceedings of the 32nd ACM International Conference on Multimedia},
6}
7
8@inproceedings{watanabe2018espnet,
9 author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
10 title={{ESPnet}: End-to-End Speech Processing Toolkit},
11 year={2018},
12 booktitle={Proceedings of Interspeech},
13 pages={2207--2211},
14 doi={10.21437/Interspeech.2018-1456},
15 url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
16}