|
additional_config: conf/tts_aept.v1.yaml |
|
allow_cache: true |
|
batch_size: 100 |
|
cleaner: tacotron |
|
config: exp/tts_aept_phn_tacotron_lr8e-04_wu4k_r2_eos_bs128_checkpoint-86000steps/original_config.yaml |
|
dev_dumpdir: dump/dev/norm |
|
dev_text: data/dev/text |
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distributed: false |
|
eval_interval_steps: 100 |
|
fft_size: 1024 |
|
fmax: 7600 |
|
fmin: 80 |
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format: hdf5 |
|
freeze-mods: |
|
- decoder |
|
- feat_out |
|
- prob_out |
|
- postnet |
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g2p: g2p_en |
|
global_gain_scale: 0.95 |
|
grad_norm: 1.0 |
|
hop_size: 256 |
|
inference: |
|
maxlenratio: 2.0 |
|
minlenratio: 0.0 |
|
threshold: 0.5 |
|
init-mods: |
|
- decoder |
|
- feat_out |
|
- prob_out |
|
- postnet |
|
init_checkpoint: exp/tts_aept_phn_tacotron_lr8e-04_wu4k_r2_eos_bs128_checkpoint-86000steps/original_checkpoint-86000steps.pkl |
|
log_interval_steps: 10 |
|
model_params: |
|
adim: 384 |
|
aheads: 4 |
|
decoder_concat_after: false |
|
decoder_normalize_before: false |
|
decoder_reduction_factor: 2 |
|
dlayers: 6 |
|
dprenet_layers: 2 |
|
dprenet_units: 256 |
|
dunits: 1536 |
|
elayers: 6 |
|
encoder_concat_after: false |
|
encoder_normalize_before: true |
|
eunits: 1536 |
|
idim: 80 |
|
odim: 80 |
|
postnet_chans: 256 |
|
postnet_filts: 5 |
|
postnet_layers: 5 |
|
use_batch_norm: true |
|
model_type: VTN |
|
non_linguistic_symbols: none |
|
num_mels: 80 |
|
num_save_intermediate_results: 4 |
|
num_workers: 2 |
|
optimizer_params: |
|
lr: 0.0008 |
|
optimizer_type: Adam |
|
outdir: exp/tts_aept_phn_tacotron_lr8e-04_wu4k_r2_eos_bs128_checkpoint-86000steps |
|
pin_memory: true |
|
pretrain: '' |
|
rank: 0 |
|
resume: '' |
|
sampling_rate: 16000 |
|
save_interval_steps: 1000 |
|
scheduler: warmuplr |
|
scheduler_params: |
|
warmup_steps: 4000 |
|
seq2seq_loss_params: |
|
bce_pos_weight: 10.0 |
|
src_dev_dumpdir: dump/dev/norm |
|
src_feat_type: mel |
|
src_train_dumpdir: dump/train_no_dev/norm |
|
stats: |
|
mean: !!python/object/apply:numpy.core.multiarray._reconstruct |
|
args: |
|
- &id001 !!python/name:numpy.ndarray '' |
|
- !!python/tuple |
|
- 0 |
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- !!binary | |
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Yg== |
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state: !!python/tuple |
|
- 1 |
|
- !!python/tuple |
|
- 80 |
|
- &id002 !!python/object/apply:numpy.dtype |
|
args: |
|
- f4 |
|
- false |
|
- true |
|
state: !!python/tuple |
|
- 3 |
|
- < |
|
- null |
|
- null |
|
- null |
|
- -1 |
|
- -1 |
|
- 0 |
|
- false |
|
- !!binary | |
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|
kte/Xd7dv+GN4L/PK+e/Mejvv2Uc+b8aqgHAqXwGwPwDCMCsKQnAc2UKwMtPDMCAfQzAZw0RwABs |
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|
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|
qTvAJm9BwOxVRcAt2EXA1eJEwKxhQcCR7jvAbdQ4wE6NRMA= |
|
scale: !!python/object/apply:numpy.core.multiarray._reconstruct |
|
args: |
|
- *id001 |
|
- !!python/tuple |
|
- 0 |
|
- !!binary | |
|
Yg== |
|
state: !!python/tuple |
|
- 1 |
|
- !!python/tuple |
|
- 80 |
|
- *id002 |
|
- false |
|
- !!binary | |
|
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|
ZEA/ReZCPwz8Qz95UUI/NkNAPzNtPz9gUUU/bHZEP0JDQz/oekU/+XtFP+rMQz8MWkA/Vo1AP5eL |
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Pz/urDs/lF4+PzP4QD8Of0E/dX5AP9byPj/JPzw/8Iw8P2qIPj+1tD8/o6BAP/UWQT9askA/13k+ |
|
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|
VF4/q8llP9/lbT+d4HE/+wxvPz0JbT+6Um0/kXJuP580bz8= |
|
token_list: exp/phn_tacotron_lr8e-04_wu4k_r2_eos_bs128/tokens.txt |
|
token_type: phn |
|
train_dumpdir: dump/train_no_dev/norm |
|
train_max_steps: 50000 |
|
train_text: data/train_no_dev/text |
|
trg_dev_dumpdir: dump/dev/norm |
|
trg_feat_type: mel |
|
trg_stats: exp/tts_aept_phn_tacotron_lr8e-04_wu4k_r2_eos_bs128_checkpoint-86000steps/stats.h5 |
|
trg_train_dumpdir: dump/train_no_dev/norm |
|
trim_frame_size: 2048 |
|
trim_hop_size: 512 |
|
trim_silence: false |
|
trim_threshold_in_db: 60 |
|
verbose: 1 |
|
version: 0.1.0 |
|
vocoder: null |
|
win_length: null |
|
window: hann |
|
feat_list: |
|
mel: {} |
|
trg_feat: "mel" |
|
collater_type: "ARVCCollater" |
|
trainer_type: "ARVCTrainer" |
|
criterions: |
|
Seq2SeqLoss: |
|
bce_pos_weight: 10.0 |