Update model
Browse files- README.md +347 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/120epoch.pth +3 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/config.yaml +272 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/adv_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/codec_commit_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/codec_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/codec_quantization_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_backward_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_forward_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_optim_step_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_train_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/fake_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/feat_match_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/generator_backward_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/generator_forward_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/generator_optim_step_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/generator_train_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/gpu_max_cached_mem_GB.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/iter_time.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/mel_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/mel_loss_real.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/optim0_lr0.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/optim1_lr0.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/real_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/reconstruct_loss.png +0 -0
- exp/codec_train_dac_large_v1.11_raw_fs16000/images/train_time.png +0 -0
- meta.yaml +8 -0
README.md
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| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- espnet
|
| 4 |
+
- audio
|
| 5 |
+
- codec
|
| 6 |
+
language: multilingual
|
| 7 |
+
datasets:
|
| 8 |
+
- amuse
|
| 9 |
+
license: cc-by-4.0
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
## ESPnet2 Codec model
|
| 13 |
+
|
| 14 |
+
### `ftshijt/espnet_codec_dac_large_v1.11_120epoch`
|
| 15 |
+
|
| 16 |
+
This model was trained by ftshijt using amuse recipe in [espnet](https://github.com/espnet/espnet/).
|
| 17 |
+
|
| 18 |
+
### Demo: How to use in ESPnet2
|
| 19 |
+
|
| 20 |
+
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
|
| 21 |
+
if you haven't done that already.
|
| 22 |
+
|
| 23 |
+
```bash
|
| 24 |
+
cd espnet
|
| 25 |
+
git checkout 9baec3a7b10b784cb721849e19caed19e8ac45bc
|
| 26 |
+
pip install -e .
|
| 27 |
+
cd egs2/amuse/codec1
|
| 28 |
+
./run.sh --skip_data_prep false --skip_train true --download_model ftshijt/espnet_codec_dac_large_v1.11_120epoch
|
| 29 |
+
```
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
## Codec config
|
| 34 |
+
|
| 35 |
+
<details><summary>expand</summary>
|
| 36 |
+
|
| 37 |
+
```
|
| 38 |
+
config: conf/train_dac_large_v1.11.yaml
|
| 39 |
+
print_config: false
|
| 40 |
+
log_level: INFO
|
| 41 |
+
drop_last_iter: false
|
| 42 |
+
dry_run: false
|
| 43 |
+
iterator_type: chunk
|
| 44 |
+
valid_iterator_type: null
|
| 45 |
+
output_dir: exp/codec_train_dac_large_v1.11_raw_fs16000
|
| 46 |
+
ngpu: 1
|
| 47 |
+
seed: 777
|
| 48 |
+
num_workers: 1
|
| 49 |
+
num_att_plot: 0
|
| 50 |
+
dist_backend: nccl
|
| 51 |
+
dist_init_method: env://
|
| 52 |
+
dist_world_size: 2
|
| 53 |
+
dist_rank: 0
|
| 54 |
+
local_rank: 0
|
| 55 |
+
dist_master_addr: localhost
|
| 56 |
+
dist_master_port: 47021
|
| 57 |
+
dist_launcher: null
|
| 58 |
+
multiprocessing_distributed: true
|
| 59 |
+
unused_parameters: true
|
| 60 |
+
sharded_ddp: false
|
| 61 |
+
use_deepspeed: false
|
| 62 |
+
deepspeed_config: null
|
| 63 |
+
cudnn_enabled: true
|
| 64 |
+
cudnn_benchmark: false
|
| 65 |
+
cudnn_deterministic: false
|
| 66 |
+
use_tf32: false
|
| 67 |
+
collect_stats: false
|
| 68 |
+
write_collected_feats: false
|
| 69 |
+
max_epoch: 120
|
| 70 |
+
patience: null
|
| 71 |
+
val_scheduler_criterion:
|
| 72 |
+
- valid
|
| 73 |
+
- loss
|
| 74 |
+
early_stopping_criterion:
|
| 75 |
+
- valid
|
| 76 |
+
- loss
|
| 77 |
+
- min
|
| 78 |
+
best_model_criterion:
|
| 79 |
+
- - valid
|
| 80 |
+
- mel_loss
|
| 81 |
+
- min
|
| 82 |
+
- - train
|
| 83 |
+
- mel_loss
|
| 84 |
+
- min
|
| 85 |
+
- - train
|
| 86 |
+
- total_count
|
| 87 |
+
- max
|
| 88 |
+
keep_nbest_models: 5
|
| 89 |
+
nbest_averaging_interval: 0
|
| 90 |
+
grad_clip: -1
|
| 91 |
+
grad_clip_type: 2.0
|
| 92 |
+
grad_noise: false
|
| 93 |
+
accum_grad: 1
|
| 94 |
+
no_forward_run: false
|
| 95 |
+
resume: true
|
| 96 |
+
train_dtype: float32
|
| 97 |
+
use_amp: false
|
| 98 |
+
log_interval: 50
|
| 99 |
+
use_matplotlib: true
|
| 100 |
+
use_tensorboard: true
|
| 101 |
+
create_graph_in_tensorboard: false
|
| 102 |
+
use_wandb: false
|
| 103 |
+
wandb_project: null
|
| 104 |
+
wandb_id: null
|
| 105 |
+
wandb_entity: null
|
| 106 |
+
wandb_name: null
|
| 107 |
+
wandb_model_log_interval: -1
|
| 108 |
+
detect_anomaly: false
|
| 109 |
+
use_adapter: false
|
| 110 |
+
adapter: lora
|
| 111 |
+
save_strategy: all
|
| 112 |
+
adapter_conf: {}
|
| 113 |
+
pretrain_path: null
|
| 114 |
+
init_param: []
|
| 115 |
+
ignore_init_mismatch: false
|
| 116 |
+
freeze_param: []
|
| 117 |
+
num_iters_per_epoch: 5000
|
| 118 |
+
batch_size: 64
|
| 119 |
+
valid_batch_size: null
|
| 120 |
+
batch_bins: 1000000
|
| 121 |
+
valid_batch_bins: null
|
| 122 |
+
category_sample_size: 10
|
| 123 |
+
train_shape_file:
|
| 124 |
+
- exp/codec_stats_raw/train/audio_shape
|
| 125 |
+
valid_shape_file:
|
| 126 |
+
- exp/codec_stats_raw/valid/audio_shape
|
| 127 |
+
batch_type: unsorted
|
| 128 |
+
valid_batch_type: null
|
| 129 |
+
fold_length:
|
| 130 |
+
- 256000
|
| 131 |
+
sort_in_batch: descending
|
| 132 |
+
shuffle_within_batch: false
|
| 133 |
+
sort_batch: descending
|
| 134 |
+
multiple_iterator: false
|
| 135 |
+
chunk_length: 32000
|
| 136 |
+
chunk_shift_ratio: 0.5
|
| 137 |
+
num_cache_chunks: 256
|
| 138 |
+
chunk_excluded_key_prefixes: []
|
| 139 |
+
chunk_default_fs: null
|
| 140 |
+
chunk_max_abs_length: null
|
| 141 |
+
chunk_discard_short_samples: true
|
| 142 |
+
train_data_path_and_name_and_type:
|
| 143 |
+
- - dump/raw/owsm_all_temp/wav.scp
|
| 144 |
+
- audio
|
| 145 |
+
- kaldi_ark
|
| 146 |
+
valid_data_path_and_name_and_type:
|
| 147 |
+
- - dump/raw/dev-small/wav.scp
|
| 148 |
+
- audio
|
| 149 |
+
- kaldi_ark
|
| 150 |
+
multi_task_dataset: false
|
| 151 |
+
allow_variable_data_keys: false
|
| 152 |
+
max_cache_size: 0.0
|
| 153 |
+
max_cache_fd: 32
|
| 154 |
+
allow_multi_rates: false
|
| 155 |
+
valid_max_cache_size: null
|
| 156 |
+
exclude_weight_decay: false
|
| 157 |
+
exclude_weight_decay_conf: {}
|
| 158 |
+
optim: adamw
|
| 159 |
+
optim_conf:
|
| 160 |
+
lr: 0.0002
|
| 161 |
+
betas:
|
| 162 |
+
- 0.5
|
| 163 |
+
- 0.9
|
| 164 |
+
eps: 1.0e-09
|
| 165 |
+
weight_decay: 0.0
|
| 166 |
+
scheduler: exponentiallr
|
| 167 |
+
scheduler_conf:
|
| 168 |
+
gamma: 0.999875
|
| 169 |
+
optim2: adamw
|
| 170 |
+
optim2_conf:
|
| 171 |
+
lr: 0.0002
|
| 172 |
+
betas:
|
| 173 |
+
- 0.5
|
| 174 |
+
- 0.9
|
| 175 |
+
eps: 1.0e-09
|
| 176 |
+
weight_decay: 0.0
|
| 177 |
+
scheduler2: exponentiallr
|
| 178 |
+
scheduler2_conf:
|
| 179 |
+
gamma: 0.999875
|
| 180 |
+
generator_first: true
|
| 181 |
+
skip_discriminator_prob: 0.0
|
| 182 |
+
model_conf: {}
|
| 183 |
+
use_preprocessor: true
|
| 184 |
+
codec: dac
|
| 185 |
+
codec_conf:
|
| 186 |
+
sampling_rate: 16000
|
| 187 |
+
generator_params:
|
| 188 |
+
hidden_dim: 512
|
| 189 |
+
codebook_dim: 512
|
| 190 |
+
encdec_channels: 1
|
| 191 |
+
encdec_n_filters: 32
|
| 192 |
+
encdec_n_residual_layers: 3
|
| 193 |
+
encdec_ratios:
|
| 194 |
+
- 8
|
| 195 |
+
- 5
|
| 196 |
+
- 4
|
| 197 |
+
- 2
|
| 198 |
+
encdec_activation: Snake
|
| 199 |
+
encdec_norm: weight_norm
|
| 200 |
+
encdec_kernel_size: 7
|
| 201 |
+
encdec_residual_kernel_size: 7
|
| 202 |
+
encdec_last_kernel_size: 7
|
| 203 |
+
encdec_dilation_base: 2
|
| 204 |
+
encdec_causal: false
|
| 205 |
+
encdec_pad_mode: reflect
|
| 206 |
+
encdec_true_skip: false
|
| 207 |
+
encdec_compress: 2
|
| 208 |
+
encdec_lstm: 2
|
| 209 |
+
decoder_trim_right_ratio: 1.0
|
| 210 |
+
decoder_final_activation: null
|
| 211 |
+
decoder_final_activation_params: null
|
| 212 |
+
quantizer_n_q: 32
|
| 213 |
+
quantizer_bins: 1024
|
| 214 |
+
quantizer_decay: 0.99
|
| 215 |
+
quantizer_kmeans_init: true
|
| 216 |
+
quantizer_kmeans_iters: 50
|
| 217 |
+
quantizer_threshold_ema_dead_code: 2
|
| 218 |
+
quantizer_target_bandwidth:
|
| 219 |
+
- 2
|
| 220 |
+
- 4
|
| 221 |
+
- 8
|
| 222 |
+
- 16
|
| 223 |
+
- 32
|
| 224 |
+
quantizer_dropout: true
|
| 225 |
+
sample_rate: 16000
|
| 226 |
+
discriminator_params:
|
| 227 |
+
msmpmb_discriminator_params:
|
| 228 |
+
rates:
|
| 229 |
+
- 1
|
| 230 |
+
- 2
|
| 231 |
+
- 3
|
| 232 |
+
sample_rate: 24000
|
| 233 |
+
fft_sizes:
|
| 234 |
+
- 2048
|
| 235 |
+
- 1024
|
| 236 |
+
- 512
|
| 237 |
+
periods:
|
| 238 |
+
- 2
|
| 239 |
+
- 3
|
| 240 |
+
- 5
|
| 241 |
+
- 7
|
| 242 |
+
- 11
|
| 243 |
+
period_discriminator_params:
|
| 244 |
+
in_channels: 1
|
| 245 |
+
out_channels: 1
|
| 246 |
+
kernel_sizes:
|
| 247 |
+
- 5
|
| 248 |
+
- 3
|
| 249 |
+
channels: 32
|
| 250 |
+
downsample_scales:
|
| 251 |
+
- 3
|
| 252 |
+
- 3
|
| 253 |
+
- 3
|
| 254 |
+
- 3
|
| 255 |
+
- 1
|
| 256 |
+
max_downsample_channels: 1024
|
| 257 |
+
bias: true
|
| 258 |
+
nonlinear_activation: LeakyReLU
|
| 259 |
+
nonlinear_activation_params:
|
| 260 |
+
negative_slope: 0.1
|
| 261 |
+
use_weight_norm: true
|
| 262 |
+
use_spectral_norm: false
|
| 263 |
+
band_discriminator_params:
|
| 264 |
+
hop_factor: 0.25
|
| 265 |
+
sample_rate: 24000
|
| 266 |
+
bands:
|
| 267 |
+
- - 0.0
|
| 268 |
+
- 0.1
|
| 269 |
+
- - 0.1
|
| 270 |
+
- 0.25
|
| 271 |
+
- - 0.25
|
| 272 |
+
- 0.5
|
| 273 |
+
- - 0.5
|
| 274 |
+
- 0.75
|
| 275 |
+
- - 0.75
|
| 276 |
+
- 1.0
|
| 277 |
+
channel: 32
|
| 278 |
+
generator_adv_loss_params:
|
| 279 |
+
average_by_discriminators: false
|
| 280 |
+
loss_type: mse
|
| 281 |
+
discriminator_adv_loss_params:
|
| 282 |
+
average_by_discriminators: false
|
| 283 |
+
loss_type: mse
|
| 284 |
+
use_feat_match_loss: true
|
| 285 |
+
feat_match_loss_params:
|
| 286 |
+
average_by_discriminators: false
|
| 287 |
+
average_by_layers: false
|
| 288 |
+
include_final_outputs: true
|
| 289 |
+
use_mel_loss: true
|
| 290 |
+
mel_loss_params:
|
| 291 |
+
range_start: 6
|
| 292 |
+
range_end: 11
|
| 293 |
+
window: hann
|
| 294 |
+
n_mels: 80
|
| 295 |
+
fmin: 0
|
| 296 |
+
fmax: null
|
| 297 |
+
log_base: null
|
| 298 |
+
fs: 16000
|
| 299 |
+
lambda_quantization: 0.25
|
| 300 |
+
lambda_commit: 1.0
|
| 301 |
+
lambda_reconstruct: 1.0
|
| 302 |
+
lambda_adv: 1.0
|
| 303 |
+
lambda_mel: 45.0
|
| 304 |
+
lambda_feat_match: 2.0
|
| 305 |
+
cache_generator_outputs: true
|
| 306 |
+
required:
|
| 307 |
+
- output_dir
|
| 308 |
+
version: '202402'
|
| 309 |
+
distributed: true
|
| 310 |
+
```
|
| 311 |
+
|
| 312 |
+
</details>
|
| 313 |
+
|
| 314 |
+
|
| 315 |
+
|
| 316 |
+
### Citing ESPnet
|
| 317 |
+
|
| 318 |
+
```BibTex
|
| 319 |
+
@inproceedings{watanabe2018espnet,
|
| 320 |
+
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},
|
| 321 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
| 322 |
+
year={2018},
|
| 323 |
+
booktitle={Proceedings of Interspeech},
|
| 324 |
+
pages={2207--2211},
|
| 325 |
+
doi={10.21437/Interspeech.2018-1456},
|
| 326 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
| 327 |
+
}
|
| 328 |
+
|
| 329 |
+
|
| 330 |
+
|
| 331 |
+
|
| 332 |
+
|
| 333 |
+
|
| 334 |
+
```
|
| 335 |
+
|
| 336 |
+
or arXiv:
|
| 337 |
+
|
| 338 |
+
```bibtex
|
| 339 |
+
@misc{watanabe2018espnet,
|
| 340 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
| 341 |
+
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},
|
| 342 |
+
year={2018},
|
| 343 |
+
eprint={1804.00015},
|
| 344 |
+
archivePrefix={arXiv},
|
| 345 |
+
primaryClass={cs.CL}
|
| 346 |
+
}
|
| 347 |
+
```
|
exp/codec_train_dac_large_v1.11_raw_fs16000/120epoch.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:328e1b3064b1eca8fb02870ed96f82f8f5da72b5c54afcb062674a9e87a0c236
|
| 3 |
+
size 451627888
|
exp/codec_train_dac_large_v1.11_raw_fs16000/config.yaml
ADDED
|
@@ -0,0 +1,272 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
config: conf/train_dac_large_v1.11.yaml
|
| 2 |
+
print_config: false
|
| 3 |
+
log_level: INFO
|
| 4 |
+
drop_last_iter: false
|
| 5 |
+
dry_run: false
|
| 6 |
+
iterator_type: chunk
|
| 7 |
+
valid_iterator_type: null
|
| 8 |
+
output_dir: exp/codec_train_dac_large_v1.11_raw_fs16000
|
| 9 |
+
ngpu: 1
|
| 10 |
+
seed: 777
|
| 11 |
+
num_workers: 1
|
| 12 |
+
num_att_plot: 0
|
| 13 |
+
dist_backend: nccl
|
| 14 |
+
dist_init_method: env://
|
| 15 |
+
dist_world_size: 2
|
| 16 |
+
dist_rank: 0
|
| 17 |
+
local_rank: 0
|
| 18 |
+
dist_master_addr: localhost
|
| 19 |
+
dist_master_port: 47021
|
| 20 |
+
dist_launcher: null
|
| 21 |
+
multiprocessing_distributed: true
|
| 22 |
+
unused_parameters: true
|
| 23 |
+
sharded_ddp: false
|
| 24 |
+
use_deepspeed: false
|
| 25 |
+
deepspeed_config: null
|
| 26 |
+
cudnn_enabled: true
|
| 27 |
+
cudnn_benchmark: false
|
| 28 |
+
cudnn_deterministic: false
|
| 29 |
+
use_tf32: false
|
| 30 |
+
collect_stats: false
|
| 31 |
+
write_collected_feats: false
|
| 32 |
+
max_epoch: 120
|
| 33 |
+
patience: null
|
| 34 |
+
val_scheduler_criterion:
|
| 35 |
+
- valid
|
| 36 |
+
- loss
|
| 37 |
+
early_stopping_criterion:
|
| 38 |
+
- valid
|
| 39 |
+
- loss
|
| 40 |
+
- min
|
| 41 |
+
best_model_criterion:
|
| 42 |
+
- - valid
|
| 43 |
+
- mel_loss
|
| 44 |
+
- min
|
| 45 |
+
- - train
|
| 46 |
+
- mel_loss
|
| 47 |
+
- min
|
| 48 |
+
- - train
|
| 49 |
+
- total_count
|
| 50 |
+
- max
|
| 51 |
+
keep_nbest_models: 5
|
| 52 |
+
nbest_averaging_interval: 0
|
| 53 |
+
grad_clip: -1
|
| 54 |
+
grad_clip_type: 2.0
|
| 55 |
+
grad_noise: false
|
| 56 |
+
accum_grad: 1
|
| 57 |
+
no_forward_run: false
|
| 58 |
+
resume: true
|
| 59 |
+
train_dtype: float32
|
| 60 |
+
use_amp: false
|
| 61 |
+
log_interval: 50
|
| 62 |
+
use_matplotlib: true
|
| 63 |
+
use_tensorboard: true
|
| 64 |
+
create_graph_in_tensorboard: false
|
| 65 |
+
use_wandb: false
|
| 66 |
+
wandb_project: null
|
| 67 |
+
wandb_id: null
|
| 68 |
+
wandb_entity: null
|
| 69 |
+
wandb_name: null
|
| 70 |
+
wandb_model_log_interval: -1
|
| 71 |
+
detect_anomaly: false
|
| 72 |
+
use_adapter: false
|
| 73 |
+
adapter: lora
|
| 74 |
+
save_strategy: all
|
| 75 |
+
adapter_conf: {}
|
| 76 |
+
pretrain_path: null
|
| 77 |
+
init_param: []
|
| 78 |
+
ignore_init_mismatch: false
|
| 79 |
+
freeze_param: []
|
| 80 |
+
num_iters_per_epoch: 5000
|
| 81 |
+
batch_size: 64
|
| 82 |
+
valid_batch_size: null
|
| 83 |
+
batch_bins: 1000000
|
| 84 |
+
valid_batch_bins: null
|
| 85 |
+
category_sample_size: 10
|
| 86 |
+
train_shape_file:
|
| 87 |
+
- exp/codec_stats_raw/train/audio_shape
|
| 88 |
+
valid_shape_file:
|
| 89 |
+
- exp/codec_stats_raw/valid/audio_shape
|
| 90 |
+
batch_type: unsorted
|
| 91 |
+
valid_batch_type: null
|
| 92 |
+
fold_length:
|
| 93 |
+
- 256000
|
| 94 |
+
sort_in_batch: descending
|
| 95 |
+
shuffle_within_batch: false
|
| 96 |
+
sort_batch: descending
|
| 97 |
+
multiple_iterator: false
|
| 98 |
+
chunk_length: 32000
|
| 99 |
+
chunk_shift_ratio: 0.5
|
| 100 |
+
num_cache_chunks: 256
|
| 101 |
+
chunk_excluded_key_prefixes: []
|
| 102 |
+
chunk_default_fs: null
|
| 103 |
+
chunk_max_abs_length: null
|
| 104 |
+
chunk_discard_short_samples: true
|
| 105 |
+
train_data_path_and_name_and_type:
|
| 106 |
+
- - dump/raw/owsm_all_temp/wav.scp
|
| 107 |
+
- audio
|
| 108 |
+
- kaldi_ark
|
| 109 |
+
valid_data_path_and_name_and_type:
|
| 110 |
+
- - dump/raw/dev-small/wav.scp
|
| 111 |
+
- audio
|
| 112 |
+
- kaldi_ark
|
| 113 |
+
multi_task_dataset: false
|
| 114 |
+
allow_variable_data_keys: false
|
| 115 |
+
max_cache_size: 0.0
|
| 116 |
+
max_cache_fd: 32
|
| 117 |
+
allow_multi_rates: false
|
| 118 |
+
valid_max_cache_size: null
|
| 119 |
+
exclude_weight_decay: false
|
| 120 |
+
exclude_weight_decay_conf: {}
|
| 121 |
+
optim: adamw
|
| 122 |
+
optim_conf:
|
| 123 |
+
lr: 0.0002
|
| 124 |
+
betas:
|
| 125 |
+
- 0.5
|
| 126 |
+
- 0.9
|
| 127 |
+
eps: 1.0e-09
|
| 128 |
+
weight_decay: 0.0
|
| 129 |
+
scheduler: exponentiallr
|
| 130 |
+
scheduler_conf:
|
| 131 |
+
gamma: 0.999875
|
| 132 |
+
optim2: adamw
|
| 133 |
+
optim2_conf:
|
| 134 |
+
lr: 0.0002
|
| 135 |
+
betas:
|
| 136 |
+
- 0.5
|
| 137 |
+
- 0.9
|
| 138 |
+
eps: 1.0e-09
|
| 139 |
+
weight_decay: 0.0
|
| 140 |
+
scheduler2: exponentiallr
|
| 141 |
+
scheduler2_conf:
|
| 142 |
+
gamma: 0.999875
|
| 143 |
+
generator_first: true
|
| 144 |
+
skip_discriminator_prob: 0.0
|
| 145 |
+
model_conf: {}
|
| 146 |
+
use_preprocessor: true
|
| 147 |
+
codec: dac
|
| 148 |
+
codec_conf:
|
| 149 |
+
sampling_rate: 16000
|
| 150 |
+
generator_params:
|
| 151 |
+
hidden_dim: 512
|
| 152 |
+
codebook_dim: 512
|
| 153 |
+
encdec_channels: 1
|
| 154 |
+
encdec_n_filters: 32
|
| 155 |
+
encdec_n_residual_layers: 3
|
| 156 |
+
encdec_ratios:
|
| 157 |
+
- 8
|
| 158 |
+
- 5
|
| 159 |
+
- 4
|
| 160 |
+
- 2
|
| 161 |
+
encdec_activation: Snake
|
| 162 |
+
encdec_norm: weight_norm
|
| 163 |
+
encdec_kernel_size: 7
|
| 164 |
+
encdec_residual_kernel_size: 7
|
| 165 |
+
encdec_last_kernel_size: 7
|
| 166 |
+
encdec_dilation_base: 2
|
| 167 |
+
encdec_causal: false
|
| 168 |
+
encdec_pad_mode: reflect
|
| 169 |
+
encdec_true_skip: false
|
| 170 |
+
encdec_compress: 2
|
| 171 |
+
encdec_lstm: 2
|
| 172 |
+
decoder_trim_right_ratio: 1.0
|
| 173 |
+
decoder_final_activation: null
|
| 174 |
+
decoder_final_activation_params: null
|
| 175 |
+
quantizer_n_q: 32
|
| 176 |
+
quantizer_bins: 1024
|
| 177 |
+
quantizer_decay: 0.99
|
| 178 |
+
quantizer_kmeans_init: true
|
| 179 |
+
quantizer_kmeans_iters: 50
|
| 180 |
+
quantizer_threshold_ema_dead_code: 2
|
| 181 |
+
quantizer_target_bandwidth:
|
| 182 |
+
- 2
|
| 183 |
+
- 4
|
| 184 |
+
- 8
|
| 185 |
+
- 16
|
| 186 |
+
- 32
|
| 187 |
+
quantizer_dropout: true
|
| 188 |
+
sample_rate: 16000
|
| 189 |
+
discriminator_params:
|
| 190 |
+
msmpmb_discriminator_params:
|
| 191 |
+
rates:
|
| 192 |
+
- 1
|
| 193 |
+
- 2
|
| 194 |
+
- 3
|
| 195 |
+
sample_rate: 24000
|
| 196 |
+
fft_sizes:
|
| 197 |
+
- 2048
|
| 198 |
+
- 1024
|
| 199 |
+
- 512
|
| 200 |
+
periods:
|
| 201 |
+
- 2
|
| 202 |
+
- 3
|
| 203 |
+
- 5
|
| 204 |
+
- 7
|
| 205 |
+
- 11
|
| 206 |
+
period_discriminator_params:
|
| 207 |
+
in_channels: 1
|
| 208 |
+
out_channels: 1
|
| 209 |
+
kernel_sizes:
|
| 210 |
+
- 5
|
| 211 |
+
- 3
|
| 212 |
+
channels: 32
|
| 213 |
+
downsample_scales:
|
| 214 |
+
- 3
|
| 215 |
+
- 3
|
| 216 |
+
- 3
|
| 217 |
+
- 3
|
| 218 |
+
- 1
|
| 219 |
+
max_downsample_channels: 1024
|
| 220 |
+
bias: true
|
| 221 |
+
nonlinear_activation: LeakyReLU
|
| 222 |
+
nonlinear_activation_params:
|
| 223 |
+
negative_slope: 0.1
|
| 224 |
+
use_weight_norm: true
|
| 225 |
+
use_spectral_norm: false
|
| 226 |
+
band_discriminator_params:
|
| 227 |
+
hop_factor: 0.25
|
| 228 |
+
sample_rate: 24000
|
| 229 |
+
bands:
|
| 230 |
+
- - 0.0
|
| 231 |
+
- 0.1
|
| 232 |
+
- - 0.1
|
| 233 |
+
- 0.25
|
| 234 |
+
- - 0.25
|
| 235 |
+
- 0.5
|
| 236 |
+
- - 0.5
|
| 237 |
+
- 0.75
|
| 238 |
+
- - 0.75
|
| 239 |
+
- 1.0
|
| 240 |
+
channel: 32
|
| 241 |
+
generator_adv_loss_params:
|
| 242 |
+
average_by_discriminators: false
|
| 243 |
+
loss_type: mse
|
| 244 |
+
discriminator_adv_loss_params:
|
| 245 |
+
average_by_discriminators: false
|
| 246 |
+
loss_type: mse
|
| 247 |
+
use_feat_match_loss: true
|
| 248 |
+
feat_match_loss_params:
|
| 249 |
+
average_by_discriminators: false
|
| 250 |
+
average_by_layers: false
|
| 251 |
+
include_final_outputs: true
|
| 252 |
+
use_mel_loss: true
|
| 253 |
+
mel_loss_params:
|
| 254 |
+
range_start: 6
|
| 255 |
+
range_end: 11
|
| 256 |
+
window: hann
|
| 257 |
+
n_mels: 80
|
| 258 |
+
fmin: 0
|
| 259 |
+
fmax: null
|
| 260 |
+
log_base: null
|
| 261 |
+
fs: 16000
|
| 262 |
+
lambda_quantization: 0.25
|
| 263 |
+
lambda_commit: 1.0
|
| 264 |
+
lambda_reconstruct: 1.0
|
| 265 |
+
lambda_adv: 1.0
|
| 266 |
+
lambda_mel: 45.0
|
| 267 |
+
lambda_feat_match: 2.0
|
| 268 |
+
cache_generator_outputs: true
|
| 269 |
+
required:
|
| 270 |
+
- output_dir
|
| 271 |
+
version: '202402'
|
| 272 |
+
distributed: true
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/adv_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/codec_commit_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/codec_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/codec_quantization_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_backward_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_forward_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_optim_step_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/discriminator_train_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/fake_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/feat_match_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/generator_backward_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/generator_forward_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/generator_optim_step_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/generator_train_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/gpu_max_cached_mem_GB.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/iter_time.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/mel_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/mel_loss_real.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/optim0_lr0.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/optim1_lr0.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/real_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/reconstruct_loss.png
ADDED
|
exp/codec_train_dac_large_v1.11_raw_fs16000/images/train_time.png
ADDED
|
meta.yaml
ADDED
|
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|
| 1 |
+
espnet: '202402'
|
| 2 |
+
files:
|
| 3 |
+
model_file: exp/codec_train_dac_large_v1.11_raw_fs16000/120epoch.pth
|
| 4 |
+
python: 3.10.13 | packaged by conda-forge | (main, Dec 23 2023, 15:26:55) [GCC 12.3.0]
|
| 5 |
+
timestamp: 1731315024.297885
|
| 6 |
+
torch: 2.5.0.dev20240825+cu124
|
| 7 |
+
yaml_files:
|
| 8 |
+
train_config: exp/codec_train_dac_large_v1.11_raw_fs16000/config.yaml
|