GunnarThor
commited on
Commit
•
b4da82b
1
Parent(s):
48a6d04
Update model
Browse files- README.md +378 -1
- dump/xvector/dev_e/spk_xvector.ark +0 -0
- dump/xvector/dev_e/spk_xvector.scp +1 -0
- dump/xvector/eval1_e/spk_xvector.ark +0 -0
- dump/xvector/eval1_e/spk_xvector.scp +1 -0
- dump/xvector/train_e/spk_xvector.ark +0 -0
- dump/xvector/train_e/spk_xvector.scp +1 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/config.yaml +297 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/backward_time.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/clip.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/decoder_alpha.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/duration_loss.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/encoder_alpha.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/energy_loss.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/forward_time.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/gpu_max_cached_mem_GB.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/grad_norm.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/iter_time.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/l1_loss.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/loss.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/loss_scale.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/optim0_lr0.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/optim_step_time.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/pitch_loss.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/train_time.png +0 -0
- exp/tts_finetune_e_loudnorm_xvector_fastspeech2/valid.loss.ave_5best.pth +3 -0
- exp/tts_stats_e/train/energy_stats.npz +3 -0
- exp/tts_stats_e/train/feats_stats.npz +3 -0
- exp/tts_stats_e/train/pitch_stats.npz +3 -0
- meta.yaml +8 -0
README.md
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---
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+
tags:
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+
- espnet
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+
- audio
|
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+
- text-to-speech
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+
language: en
|
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+
datasets:
|
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- talromur
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license: cc-by-4.0
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---
|
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+
|
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+
## ESPnet2 TTS model
|
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+
|
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### `language-and-voice-lab/talromur_e_loudnorm_xvector_finetune_fastspeech2`
|
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+
|
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This model was trained by G-Thor using talromur recipe in [espnet](https://github.com/espnet/espnet/).
|
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+
|
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+
### Demo: How to use in ESPnet2
|
19 |
+
|
20 |
+
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
|
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if you haven't done that already.
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+
|
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+
```bash
|
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cd espnet
|
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git checkout d0047402e830a3c53e8b590064af4bf70415fb3b
|
26 |
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pip install -e .
|
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cd egs2/talromur/tts1
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./run.sh --skip_data_prep false --skip_train true --download_model language-and-voice-lab/talromur_e_loudnorm_xvector_finetune_fastspeech2
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```
|
30 |
+
|
31 |
+
|
32 |
+
|
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## TTS config
|
34 |
+
|
35 |
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<details><summary>expand</summary>
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+
|
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```
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config: ./conf/tuning/finetune_xvector_fastspeech2.yaml
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print_config: false
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+
log_level: INFO
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+
drop_last_iter: false
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+
dry_run: false
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+
iterator_type: sequence
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+
valid_iterator_type: null
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+
output_dir: exp/tts_finetune_e_loudnorm_xvector_fastspeech2
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+
ngpu: 1
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+
seed: 0
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+
num_workers: 1
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+
num_att_plot: 3
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+
dist_backend: nccl
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+
dist_init_method: env://
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+
dist_world_size: null
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+
dist_rank: null
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+
local_rank: 0
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+
dist_master_addr: null
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+
dist_master_port: null
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+
dist_launcher: null
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+
multiprocessing_distributed: false
|
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+
unused_parameters: false
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60 |
+
sharded_ddp: false
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61 |
+
cudnn_enabled: true
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+
cudnn_benchmark: false
|
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+
cudnn_deterministic: true
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+
collect_stats: false
|
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+
write_collected_feats: false
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+
max_epoch: 50
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+
patience: null
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+
val_scheduler_criterion:
|
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+
- valid
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+
- loss
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+
early_stopping_criterion:
|
72 |
+
- valid
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73 |
+
- loss
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74 |
+
- min
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+
best_model_criterion:
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+
- - valid
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77 |
+
- loss
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78 |
+
- min
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79 |
+
- - train
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80 |
+
- loss
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81 |
+
- min
|
82 |
+
keep_nbest_models: 5
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83 |
+
nbest_averaging_interval: 0
|
84 |
+
grad_clip: 1.0
|
85 |
+
grad_clip_type: 2.0
|
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+
grad_noise: false
|
87 |
+
accum_grad: 8
|
88 |
+
no_forward_run: false
|
89 |
+
resume: true
|
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+
train_dtype: float32
|
91 |
+
use_amp: false
|
92 |
+
log_interval: null
|
93 |
+
use_matplotlib: true
|
94 |
+
use_tensorboard: true
|
95 |
+
create_graph_in_tensorboard: false
|
96 |
+
use_wandb: false
|
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+
wandb_project: null
|
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wandb_id: null
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wandb_entity: null
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wandb_name: null
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wandb_model_log_interval: -1
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+
detect_anomaly: false
|
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+
use_adapter: false
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+
adapter: lora
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+
save_strategy: all
|
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+
adapter_conf: {}
|
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+
pretrain_path: null
|
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+
init_param:
|
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+
- /users/home/gunnaro/talromur_1and2_spk_avg_xvector_fastspeech2/exp/tts_xvector_fastspeech2_spk_avg_combined/valid.loss.ave_5best.pth:tts:tts
|
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+
ignore_init_mismatch: false
|
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+
freeze_param: []
|
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+
num_iters_per_epoch: 800
|
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+
batch_size: 20
|
114 |
+
valid_batch_size: null
|
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+
batch_bins: 4500000
|
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+
valid_batch_bins: null
|
117 |
+
train_shape_file:
|
118 |
+
- exp/tts_stats_e/train/text_shape.phn
|
119 |
+
- exp/tts_stats_e/train/speech_shape
|
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+
valid_shape_file:
|
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+
- exp/tts_stats_e/valid/text_shape.phn
|
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+
- exp/tts_stats_e/valid/speech_shape
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+
batch_type: numel
|
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+
valid_batch_type: null
|
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+
fold_length:
|
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+
- 150
|
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+
- 204800
|
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+
sort_in_batch: descending
|
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+
shuffle_within_batch: false
|
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+
sort_batch: descending
|
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+
multiple_iterator: false
|
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+
chunk_length: 500
|
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+
chunk_shift_ratio: 0.5
|
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+
num_cache_chunks: 1024
|
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+
chunk_excluded_key_prefixes: []
|
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+
chunk_default_fs: null
|
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+
train_data_path_and_name_and_type:
|
138 |
+
- - dump/raw/train_e/text
|
139 |
+
- text
|
140 |
+
- text
|
141 |
+
- - data/train_e/durations
|
142 |
+
- durations
|
143 |
+
- text_int
|
144 |
+
- - dump/raw/train_e/wav.scp
|
145 |
+
- speech
|
146 |
+
- sound
|
147 |
+
- - dump/xvector/train_e/xvector.scp
|
148 |
+
- spembs
|
149 |
+
- kaldi_ark
|
150 |
+
valid_data_path_and_name_and_type:
|
151 |
+
- - dump/raw/dev_e/text
|
152 |
+
- text
|
153 |
+
- text
|
154 |
+
- - data/dev_e/durations
|
155 |
+
- durations
|
156 |
+
- text_int
|
157 |
+
- - dump/raw/dev_e/wav.scp
|
158 |
+
- speech
|
159 |
+
- sound
|
160 |
+
- - dump/xvector/dev_e/xvector.scp
|
161 |
+
- spembs
|
162 |
+
- kaldi_ark
|
163 |
+
allow_variable_data_keys: false
|
164 |
+
max_cache_size: 0.0
|
165 |
+
max_cache_fd: 32
|
166 |
+
allow_multi_rates: false
|
167 |
+
valid_max_cache_size: null
|
168 |
+
exclude_weight_decay: false
|
169 |
+
exclude_weight_decay_conf: {}
|
170 |
+
optim: adam
|
171 |
+
optim_conf:
|
172 |
+
lr: 0.1
|
173 |
+
scheduler: noamlr
|
174 |
+
scheduler_conf:
|
175 |
+
model_size: 384
|
176 |
+
warmup_steps: 4000
|
177 |
+
token_list:
|
178 |
+
- <blank>
|
179 |
+
- <unk>
|
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+
- a
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+
- r
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+
- sil
|
183 |
+
- I
|
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+
- t
|
185 |
+
- n
|
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+
- s
|
187 |
+
- D
|
188 |
+
- Y
|
189 |
+
- E
|
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+
- l
|
191 |
+
- v
|
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+
- m
|
193 |
+
- h
|
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+
- k
|
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+
- j
|
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+
- G
|
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+
- T
|
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+
- f
|
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+
- p
|
200 |
+
- 'E:'
|
201 |
+
- c
|
202 |
+
- i
|
203 |
+
- 'au:'
|
204 |
+
- 'O:'
|
205 |
+
- 'a:'
|
206 |
+
- ei
|
207 |
+
- 'i:'
|
208 |
+
- r_0
|
209 |
+
- t_h
|
210 |
+
- O
|
211 |
+
- k_h
|
212 |
+
- ou
|
213 |
+
- ai
|
214 |
+
- '9'
|
215 |
+
- au
|
216 |
+
- 'I:'
|
217 |
+
- 'ou:'
|
218 |
+
- u
|
219 |
+
- 'ei:'
|
220 |
+
- N
|
221 |
+
- l_0
|
222 |
+
- 'u:'
|
223 |
+
- n_0
|
224 |
+
- '9:'
|
225 |
+
- 'ai:'
|
226 |
+
- 9i
|
227 |
+
- c_h
|
228 |
+
- p_h
|
229 |
+
- x
|
230 |
+
- C
|
231 |
+
- '9i:'
|
232 |
+
- 'Y:'
|
233 |
+
- J
|
234 |
+
- N_0
|
235 |
+
- m_0
|
236 |
+
- Oi
|
237 |
+
- Yi
|
238 |
+
- J_0
|
239 |
+
- spn
|
240 |
+
- '1'
|
241 |
+
- '7'
|
242 |
+
- <sos/eos>
|
243 |
+
odim: null
|
244 |
+
model_conf: {}
|
245 |
+
use_preprocessor: true
|
246 |
+
token_type: phn
|
247 |
+
bpemodel: null
|
248 |
+
non_linguistic_symbols: null
|
249 |
+
cleaner: null
|
250 |
+
g2p: null
|
251 |
+
feats_extract: fbank
|
252 |
+
feats_extract_conf:
|
253 |
+
n_fft: 1024
|
254 |
+
hop_length: 256
|
255 |
+
win_length: null
|
256 |
+
fs: 22050
|
257 |
+
fmin: 80
|
258 |
+
fmax: 7600
|
259 |
+
n_mels: 80
|
260 |
+
normalize: global_mvn
|
261 |
+
normalize_conf:
|
262 |
+
stats_file: exp/tts_stats_e/train/feats_stats.npz
|
263 |
+
tts: fastspeech2
|
264 |
+
tts_conf:
|
265 |
+
adim: 384
|
266 |
+
aheads: 2
|
267 |
+
elayers: 4
|
268 |
+
eunits: 1536
|
269 |
+
dlayers: 4
|
270 |
+
dunits: 1536
|
271 |
+
positionwise_layer_type: conv1d
|
272 |
+
positionwise_conv_kernel_size: 3
|
273 |
+
duration_predictor_layers: 2
|
274 |
+
duration_predictor_chans: 256
|
275 |
+
duration_predictor_kernel_size: 3
|
276 |
+
postnet_layers: 5
|
277 |
+
postnet_filts: 5
|
278 |
+
postnet_chans: 256
|
279 |
+
use_masking: true
|
280 |
+
use_scaled_pos_enc: true
|
281 |
+
encoder_normalize_before: true
|
282 |
+
decoder_normalize_before: true
|
283 |
+
reduction_factor: 1
|
284 |
+
init_type: xavier_uniform
|
285 |
+
init_enc_alpha: 1.0
|
286 |
+
init_dec_alpha: 1.0
|
287 |
+
transformer_enc_dropout_rate: 0.2
|
288 |
+
transformer_enc_positional_dropout_rate: 0.2
|
289 |
+
transformer_enc_attn_dropout_rate: 0.2
|
290 |
+
transformer_dec_dropout_rate: 0.2
|
291 |
+
transformer_dec_positional_dropout_rate: 0.2
|
292 |
+
transformer_dec_attn_dropout_rate: 0.2
|
293 |
+
pitch_predictor_layers: 5
|
294 |
+
pitch_predictor_chans: 256
|
295 |
+
pitch_predictor_kernel_size: 5
|
296 |
+
pitch_predictor_dropout: 0.5
|
297 |
+
pitch_embed_kernel_size: 1
|
298 |
+
pitch_embed_dropout: 0.0
|
299 |
+
stop_gradient_from_pitch_predictor: true
|
300 |
+
energy_predictor_layers: 2
|
301 |
+
energy_predictor_chans: 256
|
302 |
+
energy_predictor_kernel_size: 3
|
303 |
+
energy_predictor_dropout: 0.5
|
304 |
+
energy_embed_kernel_size: 1
|
305 |
+
energy_embed_dropout: 0.0
|
306 |
+
stop_gradient_from_energy_predictor: false
|
307 |
+
spk_embed_dim: 512
|
308 |
+
spk_embed_integration_type: add
|
309 |
+
pitch_extract: dio
|
310 |
+
pitch_extract_conf:
|
311 |
+
fs: 22050
|
312 |
+
n_fft: 1024
|
313 |
+
hop_length: 256
|
314 |
+
f0max: 400
|
315 |
+
f0min: 80
|
316 |
+
reduction_factor: 1
|
317 |
+
pitch_normalize: global_mvn
|
318 |
+
pitch_normalize_conf:
|
319 |
+
stats_file: exp/tts_stats_e/train/pitch_stats.npz
|
320 |
+
energy_extract: energy
|
321 |
+
energy_extract_conf:
|
322 |
+
fs: 22050
|
323 |
+
n_fft: 1024
|
324 |
+
hop_length: 256
|
325 |
+
win_length: null
|
326 |
+
reduction_factor: 1
|
327 |
+
energy_normalize: global_mvn
|
328 |
+
energy_normalize_conf:
|
329 |
+
stats_file: exp/tts_stats_e/train/energy_stats.npz
|
330 |
+
required:
|
331 |
+
- output_dir
|
332 |
+
- token_list
|
333 |
+
version: '202402'
|
334 |
+
distributed: false
|
335 |
+
```
|
336 |
+
|
337 |
+
</details>
|
338 |
+
|
339 |
+
|
340 |
+
|
341 |
+
### Citing ESPnet
|
342 |
+
|
343 |
+
```BibTex
|
344 |
+
@inproceedings{watanabe2018espnet,
|
345 |
+
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},
|
346 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
347 |
+
year={2018},
|
348 |
+
booktitle={Proceedings of Interspeech},
|
349 |
+
pages={2207--2211},
|
350 |
+
doi={10.21437/Interspeech.2018-1456},
|
351 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
352 |
+
}
|
353 |
+
|
354 |
+
|
355 |
+
|
356 |
+
|
357 |
+
@inproceedings{hayashi2020espnet,
|
358 |
+
title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit},
|
359 |
+
author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu},
|
360 |
+
booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
|
361 |
+
pages={7654--7658},
|
362 |
+
year={2020},
|
363 |
+
organization={IEEE}
|
364 |
+
}
|
365 |
+
|
366 |
+
|
367 |
+
```
|
368 |
+
|
369 |
+
or arXiv:
|
370 |
+
|
371 |
+
```bibtex
|
372 |
+
@misc{watanabe2018espnet,
|
373 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
374 |
+
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},
|
375 |
+
year={2018},
|
376 |
+
eprint={1804.00015},
|
377 |
+
archivePrefix={arXiv},
|
378 |
+
primaryClass={cs.CL}
|
379 |
+
}
|
380 |
+
```
|
dump/xvector/dev_e/spk_xvector.ark
ADDED
Binary file (2.06 kB). View file
|
|
dump/xvector/dev_e/spk_xvector.scp
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
e dump/xvector/dev_e/spk_xvector.ark:2
|
dump/xvector/eval1_e/spk_xvector.ark
ADDED
Binary file (2.06 kB). View file
|
|
dump/xvector/eval1_e/spk_xvector.scp
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
e dump/xvector/eval1_e/spk_xvector.ark:2
|
dump/xvector/train_e/spk_xvector.ark
ADDED
Binary file (2.06 kB). View file
|
|
dump/xvector/train_e/spk_xvector.scp
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
e dump/xvector/train_e/spk_xvector.ark:2
|
exp/tts_finetune_e_loudnorm_xvector_fastspeech2/config.yaml
ADDED
@@ -0,0 +1,297 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
config: ./conf/tuning/finetune_xvector_fastspeech2.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
drop_last_iter: false
|
5 |
+
dry_run: false
|
6 |
+
iterator_type: sequence
|
7 |
+
valid_iterator_type: null
|
8 |
+
output_dir: exp/tts_finetune_e_loudnorm_xvector_fastspeech2
|
9 |
+
ngpu: 1
|
10 |
+
seed: 0
|
11 |
+
num_workers: 1
|
12 |
+
num_att_plot: 3
|
13 |
+
dist_backend: nccl
|
14 |
+
dist_init_method: env://
|
15 |
+
dist_world_size: null
|
16 |
+
dist_rank: null
|
17 |
+
local_rank: 0
|
18 |
+
dist_master_addr: null
|
19 |
+
dist_master_port: null
|
20 |
+
dist_launcher: null
|
21 |
+
multiprocessing_distributed: false
|
22 |
+
unused_parameters: false
|
23 |
+
sharded_ddp: false
|
24 |
+
cudnn_enabled: true
|
25 |
+
cudnn_benchmark: false
|
26 |
+
cudnn_deterministic: true
|
27 |
+
collect_stats: false
|
28 |
+
write_collected_feats: false
|
29 |
+
max_epoch: 50
|
30 |
+
patience: null
|
31 |
+
val_scheduler_criterion:
|
32 |
+
- valid
|
33 |
+
- loss
|
34 |
+
early_stopping_criterion:
|
35 |
+
- valid
|
36 |
+
- loss
|
37 |
+
- min
|
38 |
+
best_model_criterion:
|
39 |
+
- - valid
|
40 |
+
- loss
|
41 |
+
- min
|
42 |
+
- - train
|
43 |
+
- loss
|
44 |
+
- min
|
45 |
+
keep_nbest_models: 5
|
46 |
+
nbest_averaging_interval: 0
|
47 |
+
grad_clip: 1.0
|
48 |
+
grad_clip_type: 2.0
|
49 |
+
grad_noise: false
|
50 |
+
accum_grad: 8
|
51 |
+
no_forward_run: false
|
52 |
+
resume: true
|
53 |
+
train_dtype: float32
|
54 |
+
use_amp: false
|
55 |
+
log_interval: null
|
56 |
+
use_matplotlib: true
|
57 |
+
use_tensorboard: true
|
58 |
+
create_graph_in_tensorboard: false
|
59 |
+
use_wandb: false
|
60 |
+
wandb_project: null
|
61 |
+
wandb_id: null
|
62 |
+
wandb_entity: null
|
63 |
+
wandb_name: null
|
64 |
+
wandb_model_log_interval: -1
|
65 |
+
detect_anomaly: false
|
66 |
+
use_adapter: false
|
67 |
+
adapter: lora
|
68 |
+
save_strategy: all
|
69 |
+
adapter_conf: {}
|
70 |
+
pretrain_path: null
|
71 |
+
init_param:
|
72 |
+
- /users/home/gunnaro/talromur_1and2_spk_avg_xvector_fastspeech2/exp/tts_xvector_fastspeech2_spk_avg_combined/valid.loss.ave_5best.pth:tts:tts
|
73 |
+
ignore_init_mismatch: false
|
74 |
+
freeze_param: []
|
75 |
+
num_iters_per_epoch: 800
|
76 |
+
batch_size: 20
|
77 |
+
valid_batch_size: null
|
78 |
+
batch_bins: 4500000
|
79 |
+
valid_batch_bins: null
|
80 |
+
train_shape_file:
|
81 |
+
- exp/tts_stats_e/train/text_shape.phn
|
82 |
+
- exp/tts_stats_e/train/speech_shape
|
83 |
+
valid_shape_file:
|
84 |
+
- exp/tts_stats_e/valid/text_shape.phn
|
85 |
+
- exp/tts_stats_e/valid/speech_shape
|
86 |
+
batch_type: numel
|
87 |
+
valid_batch_type: null
|
88 |
+
fold_length:
|
89 |
+
- 150
|
90 |
+
- 204800
|
91 |
+
sort_in_batch: descending
|
92 |
+
shuffle_within_batch: false
|
93 |
+
sort_batch: descending
|
94 |
+
multiple_iterator: false
|
95 |
+
chunk_length: 500
|
96 |
+
chunk_shift_ratio: 0.5
|
97 |
+
num_cache_chunks: 1024
|
98 |
+
chunk_excluded_key_prefixes: []
|
99 |
+
chunk_default_fs: null
|
100 |
+
train_data_path_and_name_and_type:
|
101 |
+
- - dump/raw/train_e/text
|
102 |
+
- text
|
103 |
+
- text
|
104 |
+
- - data/train_e/durations
|
105 |
+
- durations
|
106 |
+
- text_int
|
107 |
+
- - dump/raw/train_e/wav.scp
|
108 |
+
- speech
|
109 |
+
- sound
|
110 |
+
- - dump/xvector/train_e/xvector.scp
|
111 |
+
- spembs
|
112 |
+
- kaldi_ark
|
113 |
+
valid_data_path_and_name_and_type:
|
114 |
+
- - dump/raw/dev_e/text
|
115 |
+
- text
|
116 |
+
- text
|
117 |
+
- - data/dev_e/durations
|
118 |
+
- durations
|
119 |
+
- text_int
|
120 |
+
- - dump/raw/dev_e/wav.scp
|
121 |
+
- speech
|
122 |
+
- sound
|
123 |
+
- - dump/xvector/dev_e/xvector.scp
|
124 |
+
- spembs
|
125 |
+
- kaldi_ark
|
126 |
+
allow_variable_data_keys: false
|
127 |
+
max_cache_size: 0.0
|
128 |
+
max_cache_fd: 32
|
129 |
+
allow_multi_rates: false
|
130 |
+
valid_max_cache_size: null
|
131 |
+
exclude_weight_decay: false
|
132 |
+
exclude_weight_decay_conf: {}
|
133 |
+
optim: adam
|
134 |
+
optim_conf:
|
135 |
+
lr: 0.1
|
136 |
+
scheduler: noamlr
|
137 |
+
scheduler_conf:
|
138 |
+
model_size: 384
|
139 |
+
warmup_steps: 4000
|
140 |
+
token_list:
|
141 |
+
- <blank>
|
142 |
+
- <unk>
|
143 |
+
- a
|
144 |
+
- r
|
145 |
+
- sil
|
146 |
+
- I
|
147 |
+
- t
|
148 |
+
- n
|
149 |
+
- s
|
150 |
+
- D
|
151 |
+
- Y
|
152 |
+
- E
|
153 |
+
- l
|
154 |
+
- v
|
155 |
+
- m
|
156 |
+
- h
|
157 |
+
- k
|
158 |
+
- j
|
159 |
+
- G
|
160 |
+
- T
|
161 |
+
- f
|
162 |
+
- p
|
163 |
+
- 'E:'
|
164 |
+
- c
|
165 |
+
- i
|
166 |
+
- 'au:'
|
167 |
+
- 'O:'
|
168 |
+
- 'a:'
|
169 |
+
- ei
|
170 |
+
- 'i:'
|
171 |
+
- r_0
|
172 |
+
- t_h
|
173 |
+
- O
|
174 |
+
- k_h
|
175 |
+
- ou
|
176 |
+
- ai
|
177 |
+
- '9'
|
178 |
+
- au
|
179 |
+
- 'I:'
|
180 |
+
- 'ou:'
|
181 |
+
- u
|
182 |
+
- 'ei:'
|
183 |
+
- N
|
184 |
+
- l_0
|
185 |
+
- 'u:'
|
186 |
+
- n_0
|
187 |
+
- '9:'
|
188 |
+
- 'ai:'
|
189 |
+
- 9i
|
190 |
+
- c_h
|
191 |
+
- p_h
|
192 |
+
- x
|
193 |
+
- C
|
194 |
+
- '9i:'
|
195 |
+
- 'Y:'
|
196 |
+
- J
|
197 |
+
- N_0
|
198 |
+
- m_0
|
199 |
+
- Oi
|
200 |
+
- Yi
|
201 |
+
- J_0
|
202 |
+
- spn
|
203 |
+
- '1'
|
204 |
+
- '7'
|
205 |
+
- <sos/eos>
|
206 |
+
odim: null
|
207 |
+
model_conf: {}
|
208 |
+
use_preprocessor: true
|
209 |
+
token_type: phn
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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stats_file: exp/tts_stats_e/train/energy_stats.npz
|
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required:
|
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- output_dir
|
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- token_list
|
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version: '202402'
|
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distributed: false
|
exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/backward_time.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/clip.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/decoder_alpha.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/duration_loss.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/encoder_alpha.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/energy_loss.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/forward_time.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/gpu_max_cached_mem_GB.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/grad_norm.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/iter_time.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/l1_loss.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/loss_scale.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/optim0_lr0.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/optim_step_time.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/pitch_loss.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/images/train_time.png
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exp/tts_finetune_e_loudnorm_xvector_fastspeech2/valid.loss.ave_5best.pth
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model_file: exp/tts_finetune_e_loudnorm_xvector_fastspeech2/valid.loss.ave_5best.pth
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python: "3.9.18 (main, Sep 11 2023, 13:41:44) \n[GCC 11.2.0]"
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