ECAPA-TDNN (models, papers)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +3 -0
- ECAPA-TDNN based online discussion activity-level evaluation.pdf +3 -0
- ECAPA-TDNN. Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.pdf +3 -0
- Validation of an ECAPA-TDNN system for Forensic Automatic Speaker Recognition under case work conditions.pdf +3 -0
- models/cnceleb_ecapa_tdnn/.gitattributes +35 -0
- models/cnceleb_ecapa_tdnn/README.md +300 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/16epoch.pth +3 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/RESULTS.md +17 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/config.yaml +209 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/backward_time.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/clip.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/eer.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/forward_time.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/gpu_max_cached_mem_GB.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/grad_norm.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/iter_time.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/loss.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/loss_scale.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/mindcf.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/n_trials.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/nontrg_mean.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/nontrg_std.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/optim0_lr0.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/optim_step_time.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/train_time.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/trg_mean.png +0 -0
- models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/trg_std.png +0 -0
- models/cnceleb_ecapa_tdnn/meta.yaml +8 -0
- models/cnceleb_ecapa_tdnn/source.txt +1 -0
- models/ecapa-tdnn-mlpackage/.gitattributes +35 -0
- models/ecapa-tdnn-mlpackage/ECAPA_TDNN_EndToEnd.mlpackage.zip +3 -0
- models/ecapa-tdnn-mlpackage/ECAPA_TDNN_EndToEnd.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- models/ecapa-tdnn-mlpackage/ECAPA_TDNN_EndToEnd.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- models/ecapa-tdnn-mlpackage/ECAPA_TDNN_EndToEnd.mlpackage/Manifest.json +18 -0
- models/ecapa-tdnn-mlpackage/README.md +3 -0
- models/ecapa-tdnn-mlpackage/source.txt +1 -0
- models/ecapa-tdnn-vox2/.gitattributes +34 -0
- models/ecapa-tdnn-vox2/README.md +113 -0
- models/ecapa-tdnn-vox2/classifier.ckpt +3 -0
- models/ecapa-tdnn-vox2/embedding_model.ckpt +3 -0
- models/ecapa-tdnn-vox2/hyperparams.yaml +55 -0
- models/ecapa-tdnn-vox2/label_encoder.txt +0 -0
- models/ecapa-tdnn-vox2/source.txt +1 -0
- models/ecapa-tdnn-voxceleb1-c512-aam/.gitattributes +35 -0
- models/ecapa-tdnn-voxceleb1-c512-aam/README.md +86 -0
- models/ecapa-tdnn-voxceleb1-c512-aam/all_results.json +13 -0
- models/ecapa-tdnn-voxceleb1-c512-aam/angular_loss.py +68 -0
- models/ecapa-tdnn-voxceleb1-c512-aam/audio_processing.py +413 -0
- models/ecapa-tdnn-voxceleb1-c512-aam/config.json +2590 -0
- models/ecapa-tdnn-voxceleb1-c512-aam/configuration_ecapa_tdnn.py +196 -0
.gitattributes
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ECAPA-TDNN[[:space:]]based[[:space:]]online[[:space:]]discussion[[:space:]]activity-level[[:space:]]evaluation.pdf filter=lfs diff=lfs merge=lfs -text
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ECAPA-TDNN.[[:space:]]Emphasized[[:space:]]Channel[[:space:]]Attention,[[:space:]]Propagation[[:space:]]and[[:space:]]Aggregation[[:space:]]in[[:space:]]TDNN[[:space:]]Based[[:space:]]Speaker[[:space:]]Verification.pdf filter=lfs diff=lfs merge=lfs -text
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Validation[[:space:]]of[[:space:]]an[[:space:]]ECAPA-TDNN[[:space:]]system[[:space:]]for[[:space:]]Forensic[[:space:]]Automatic[[:space:]]Speaker[[:space:]]Recognition[[:space:]]under[[:space:]]case[[:space:]]work[[:space:]]conditions.pdf filter=lfs diff=lfs merge=lfs -text
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ECAPA-TDNN based online discussion activity-level evaluation.pdf
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ECAPA-TDNN. Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.pdf
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Validation of an ECAPA-TDNN system for Forensic Automatic Speaker Recognition under case work conditions.pdf
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models/cnceleb_ecapa_tdnn/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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- speaker-recognition
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language: multilingual
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datasets:
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- cnceleb
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license: cc-by-4.0
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---
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## ESPnet2 SPK model
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### `espnet/cnceleb_ecapa_tdnn`
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This model was trained by holvan using cnceleb recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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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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```bash
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cd espnet
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git checkout d3db63621b5ea1d7b450d768f97c1a6bdf3cf8be
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pip install -e .
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cd egs2/cnceleb/spk1
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/cnceleb_ecapa_tdnn
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```
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<!-- Generated by scripts/utils/show_spk_result.py -->
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# RESULTS
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## Environments
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date: 2025-06-17 13:12:33.497674
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- python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]
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- espnet version: 202402
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- pytorch version: 2.3.1
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| | Mean | Std |
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|---|---|---|
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| Target | -1.0389 | 0.1553 |
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| Non-target | -1.3574 | 0.0679 |
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| Model name | EER(%) | minDCF |
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|---|---|---|
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| conf/train_ecapa_tdnn | 7.762 | 0.35304 |
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## SPK config
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| 50 |
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<details><summary>expand</summary>
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```
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config: conf/train_ecapa_tdnn.yaml
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print_config: false
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log_level: INFO
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drop_last_iter: true
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dry_run: false
|
| 59 |
+
iterator_type: category
|
| 60 |
+
valid_iterator_type: sequence
|
| 61 |
+
output_dir: exp/spk_train_ecapa_tdnn_raw_sp
|
| 62 |
+
ngpu: 1
|
| 63 |
+
seed: 0
|
| 64 |
+
num_workers: 8
|
| 65 |
+
num_att_plot: 0
|
| 66 |
+
dist_backend: nccl
|
| 67 |
+
dist_init_method: env://
|
| 68 |
+
dist_world_size: 4
|
| 69 |
+
dist_rank: 0
|
| 70 |
+
local_rank: 0
|
| 71 |
+
dist_master_addr: localhost
|
| 72 |
+
dist_master_port: 44223
|
| 73 |
+
dist_launcher: null
|
| 74 |
+
multiprocessing_distributed: true
|
| 75 |
+
unused_parameters: false
|
| 76 |
+
sharded_ddp: false
|
| 77 |
+
use_deepspeed: false
|
| 78 |
+
deepspeed_config: null
|
| 79 |
+
gradient_as_bucket_view: true
|
| 80 |
+
ddp_comm_hook: null
|
| 81 |
+
cudnn_enabled: true
|
| 82 |
+
cudnn_benchmark: true
|
| 83 |
+
cudnn_deterministic: false
|
| 84 |
+
use_tf32: false
|
| 85 |
+
collect_stats: false
|
| 86 |
+
write_collected_feats: false
|
| 87 |
+
max_epoch: 40
|
| 88 |
+
patience: null
|
| 89 |
+
val_scheduler_criterion:
|
| 90 |
+
- valid
|
| 91 |
+
- loss
|
| 92 |
+
early_stopping_criterion:
|
| 93 |
+
- valid
|
| 94 |
+
- loss
|
| 95 |
+
- min
|
| 96 |
+
best_model_criterion:
|
| 97 |
+
- - valid
|
| 98 |
+
- eer
|
| 99 |
+
- min
|
| 100 |
+
keep_nbest_models: 3
|
| 101 |
+
nbest_averaging_interval: 0
|
| 102 |
+
grad_clip: 9999
|
| 103 |
+
grad_clip_type: 2.0
|
| 104 |
+
grad_noise: false
|
| 105 |
+
accum_grad: 1
|
| 106 |
+
no_forward_run: false
|
| 107 |
+
resume: true
|
| 108 |
+
train_dtype: float32
|
| 109 |
+
use_amp: true
|
| 110 |
+
log_interval: 100
|
| 111 |
+
use_matplotlib: true
|
| 112 |
+
use_tensorboard: true
|
| 113 |
+
create_graph_in_tensorboard: false
|
| 114 |
+
use_wandb: false
|
| 115 |
+
wandb_project: null
|
| 116 |
+
wandb_id: null
|
| 117 |
+
wandb_entity: null
|
| 118 |
+
wandb_name: null
|
| 119 |
+
wandb_model_log_interval: -1
|
| 120 |
+
detect_anomaly: false
|
| 121 |
+
use_adapter: false
|
| 122 |
+
adapter: lora
|
| 123 |
+
save_strategy: all
|
| 124 |
+
adapter_conf: {}
|
| 125 |
+
pretrain_path: null
|
| 126 |
+
init_param: []
|
| 127 |
+
ignore_init_mismatch: false
|
| 128 |
+
freeze_param: []
|
| 129 |
+
num_iters_per_epoch: null
|
| 130 |
+
batch_size: 512
|
| 131 |
+
valid_batch_size: 40
|
| 132 |
+
batch_bins: 1000000
|
| 133 |
+
valid_batch_bins: null
|
| 134 |
+
category_sample_size: 10
|
| 135 |
+
train_shape_file:
|
| 136 |
+
- exp/spk_stats_16k_sp/train/speech_shape
|
| 137 |
+
valid_shape_file:
|
| 138 |
+
- exp/spk_stats_16k_sp/valid/speech_shape
|
| 139 |
+
batch_type: folded
|
| 140 |
+
valid_batch_type: null
|
| 141 |
+
fold_length:
|
| 142 |
+
- 120000
|
| 143 |
+
sort_in_batch: descending
|
| 144 |
+
shuffle_within_batch: false
|
| 145 |
+
sort_batch: descending
|
| 146 |
+
multiple_iterator: false
|
| 147 |
+
chunk_length: 500
|
| 148 |
+
chunk_shift_ratio: 0.5
|
| 149 |
+
num_cache_chunks: 1024
|
| 150 |
+
chunk_excluded_key_prefixes: []
|
| 151 |
+
chunk_default_fs: null
|
| 152 |
+
chunk_max_abs_length: null
|
| 153 |
+
chunk_discard_short_samples: true
|
| 154 |
+
train_data_path_and_name_and_type:
|
| 155 |
+
- - dump/raw/cnceleb_train_sp/wav.scp
|
| 156 |
+
- speech
|
| 157 |
+
- sound
|
| 158 |
+
- - dump/raw/cnceleb_train_sp/utt2spk
|
| 159 |
+
- spk_labels
|
| 160 |
+
- text
|
| 161 |
+
valid_data_path_and_name_and_type:
|
| 162 |
+
- - dump/raw/cnceleb1_valid/trial.scp
|
| 163 |
+
- speech
|
| 164 |
+
- sound
|
| 165 |
+
- - dump/raw/cnceleb1_valid/trial2.scp
|
| 166 |
+
- speech2
|
| 167 |
+
- sound
|
| 168 |
+
- - dump/raw/cnceleb1_valid/trial_label
|
| 169 |
+
- spk_labels
|
| 170 |
+
- text
|
| 171 |
+
multi_task_dataset: false
|
| 172 |
+
allow_variable_data_keys: false
|
| 173 |
+
max_cache_size: 0.0
|
| 174 |
+
max_cache_fd: 32
|
| 175 |
+
allow_multi_rates: false
|
| 176 |
+
valid_max_cache_size: null
|
| 177 |
+
exclude_weight_decay: false
|
| 178 |
+
exclude_weight_decay_conf: {}
|
| 179 |
+
optim: sgd
|
| 180 |
+
optim_conf:
|
| 181 |
+
lr: 0.1
|
| 182 |
+
momentum: 0.9
|
| 183 |
+
weight_decay: 0.0001
|
| 184 |
+
scheduler: exponentialdecaywarmup
|
| 185 |
+
scheduler_conf:
|
| 186 |
+
max_lr: 0.1
|
| 187 |
+
min_lr: 5.0e-05
|
| 188 |
+
total_steps: 140720
|
| 189 |
+
warmup_steps: 17590
|
| 190 |
+
warm_from_zero: true
|
| 191 |
+
init: null
|
| 192 |
+
use_preprocessor: true
|
| 193 |
+
input_size: null
|
| 194 |
+
target_duration: 3.0
|
| 195 |
+
spk2utt: dump/raw/cnceleb_train_sp/spk2utt
|
| 196 |
+
spk_num: 8379
|
| 197 |
+
sample_rate: 16000
|
| 198 |
+
num_eval: 10
|
| 199 |
+
rir_scp: ''
|
| 200 |
+
model_conf:
|
| 201 |
+
extract_feats_in_collect_stats: false
|
| 202 |
+
frontend: melspec_torch
|
| 203 |
+
frontend_conf:
|
| 204 |
+
preemp: true
|
| 205 |
+
n_fft: 512
|
| 206 |
+
log: true
|
| 207 |
+
win_length: 400
|
| 208 |
+
hop_length: 160
|
| 209 |
+
n_mels: 80
|
| 210 |
+
normalize: mn
|
| 211 |
+
specaug: null
|
| 212 |
+
specaug_conf: {}
|
| 213 |
+
normalize: null
|
| 214 |
+
normalize_conf: {}
|
| 215 |
+
encoder: ecapa_tdnn
|
| 216 |
+
encoder_conf:
|
| 217 |
+
model_scale: 8
|
| 218 |
+
ndim: 1024
|
| 219 |
+
output_size: 1536
|
| 220 |
+
pooling: chn_attn_stat
|
| 221 |
+
pooling_conf: {}
|
| 222 |
+
projector: rawnet3
|
| 223 |
+
projector_conf:
|
| 224 |
+
output_size: 192
|
| 225 |
+
preprocessor: spk
|
| 226 |
+
preprocessor_conf:
|
| 227 |
+
target_duration: 3.0
|
| 228 |
+
sample_rate: 16000
|
| 229 |
+
num_eval: 5
|
| 230 |
+
noise_apply_prob: 0.5
|
| 231 |
+
noise_info:
|
| 232 |
+
- - 1.0
|
| 233 |
+
- dump/raw/musan_speech.scp
|
| 234 |
+
- - 4
|
| 235 |
+
- 7
|
| 236 |
+
- - 13
|
| 237 |
+
- 20
|
| 238 |
+
- - 1.0
|
| 239 |
+
- dump/raw/musan_noise.scp
|
| 240 |
+
- - 1
|
| 241 |
+
- 1
|
| 242 |
+
- - 0
|
| 243 |
+
- 15
|
| 244 |
+
- - 1.0
|
| 245 |
+
- dump/raw/musan_music.scp
|
| 246 |
+
- - 1
|
| 247 |
+
- 1
|
| 248 |
+
- - 5
|
| 249 |
+
- 15
|
| 250 |
+
rir_apply_prob: 0.5
|
| 251 |
+
rir_scp: dump/raw/rirs.scp
|
| 252 |
+
loss: aamsoftmax_sc_topk
|
| 253 |
+
loss_conf:
|
| 254 |
+
margin: 0.3
|
| 255 |
+
scale: 30
|
| 256 |
+
K: 3
|
| 257 |
+
mp: 0.06
|
| 258 |
+
k_top: 5
|
| 259 |
+
required:
|
| 260 |
+
- output_dir
|
| 261 |
+
version: '202402'
|
| 262 |
+
distributed: true
|
| 263 |
+
```
|
| 264 |
+
|
| 265 |
+
</details>
|
| 266 |
+
|
| 267 |
+
|
| 268 |
+
|
| 269 |
+
### Citing ESPnet
|
| 270 |
+
|
| 271 |
+
```BibTex
|
| 272 |
+
@inproceedings{watanabe2018espnet,
|
| 273 |
+
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},
|
| 274 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
| 275 |
+
year={2018},
|
| 276 |
+
booktitle={Proceedings of Interspeech},
|
| 277 |
+
pages={2207--2211},
|
| 278 |
+
doi={10.21437/Interspeech.2018-1456},
|
| 279 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
| 280 |
+
}
|
| 281 |
+
|
| 282 |
+
|
| 283 |
+
|
| 284 |
+
|
| 285 |
+
|
| 286 |
+
|
| 287 |
+
```
|
| 288 |
+
|
| 289 |
+
or arXiv:
|
| 290 |
+
|
| 291 |
+
```bibtex
|
| 292 |
+
@misc{watanabe2018espnet,
|
| 293 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
| 294 |
+
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},
|
| 295 |
+
year={2018},
|
| 296 |
+
eprint={1804.00015},
|
| 297 |
+
archivePrefix={arXiv},
|
| 298 |
+
primaryClass={cs.CL}
|
| 299 |
+
}
|
| 300 |
+
```
|
models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/16epoch.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7121b9c2e567bad355a4103ccf8a101f845a2197f3b2cdc2c97547667051219
|
| 3 |
+
size 78210868
|
models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/RESULTS.md
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<!-- Generated by scripts/utils/show_spk_result.py -->
|
| 2 |
+
# RESULTS
|
| 3 |
+
## Environments
|
| 4 |
+
date: 2025-06-17 13:12:33.497674
|
| 5 |
+
|
| 6 |
+
- python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]
|
| 7 |
+
- espnet version: 202402
|
| 8 |
+
- pytorch version: 2.3.1
|
| 9 |
+
|
| 10 |
+
| | Mean | Std |
|
| 11 |
+
|---|---|---|
|
| 12 |
+
| Target | -1.0389 | 0.1553 |
|
| 13 |
+
| Non-target | -1.3574 | 0.0679 |
|
| 14 |
+
|
| 15 |
+
| Model name | EER(%) | minDCF |
|
| 16 |
+
|---|---|---|
|
| 17 |
+
| conf/train_ecapa_tdnn | 7.762 | 0.35304 |
|
models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/config.yaml
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
config: conf/train_ecapa_tdnn.yaml
|
| 2 |
+
print_config: false
|
| 3 |
+
log_level: INFO
|
| 4 |
+
drop_last_iter: true
|
| 5 |
+
dry_run: false
|
| 6 |
+
iterator_type: category
|
| 7 |
+
valid_iterator_type: sequence
|
| 8 |
+
output_dir: exp/spk_train_ecapa_tdnn_raw_sp
|
| 9 |
+
ngpu: 1
|
| 10 |
+
seed: 0
|
| 11 |
+
num_workers: 8
|
| 12 |
+
num_att_plot: 0
|
| 13 |
+
dist_backend: nccl
|
| 14 |
+
dist_init_method: env://
|
| 15 |
+
dist_world_size: 4
|
| 16 |
+
dist_rank: 0
|
| 17 |
+
local_rank: 0
|
| 18 |
+
dist_master_addr: localhost
|
| 19 |
+
dist_master_port: 44223
|
| 20 |
+
dist_launcher: null
|
| 21 |
+
multiprocessing_distributed: true
|
| 22 |
+
unused_parameters: false
|
| 23 |
+
sharded_ddp: false
|
| 24 |
+
use_deepspeed: false
|
| 25 |
+
deepspeed_config: null
|
| 26 |
+
gradient_as_bucket_view: true
|
| 27 |
+
ddp_comm_hook: null
|
| 28 |
+
cudnn_enabled: true
|
| 29 |
+
cudnn_benchmark: true
|
| 30 |
+
cudnn_deterministic: false
|
| 31 |
+
use_tf32: false
|
| 32 |
+
collect_stats: false
|
| 33 |
+
write_collected_feats: false
|
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|
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models/cnceleb_ecapa_tdnn/exp/spk_train_ecapa_tdnn_raw_sp/images/backward_time.png
ADDED
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|
models/cnceleb_ecapa_tdnn/meta.yaml
ADDED
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model_file: exp/spk_train_ecapa_tdnn_raw_sp/16epoch.pth
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torch: 2.3.1
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|
|
|
|
| 1 |
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---
|
| 2 |
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|
| 3 |
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---
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| 1 |
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|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
models/ecapa-tdnn-vox2/README.md
ADDED
|
@@ -0,0 +1,113 @@
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| 1 |
+
---
|
| 2 |
+
language: "en"
|
| 3 |
+
thumbnail:
|
| 4 |
+
tags:
|
| 5 |
+
- speechbrain
|
| 6 |
+
- embeddings
|
| 7 |
+
- Speaker
|
| 8 |
+
- Verification
|
| 9 |
+
- Identification
|
| 10 |
+
- pytorch
|
| 11 |
+
- ECAPA-TDNN
|
| 12 |
+
license: "apache-2.0"
|
| 13 |
+
datasets:
|
| 14 |
+
- voxceleb
|
| 15 |
+
metrics:
|
| 16 |
+
- EER
|
| 17 |
+
- Accuracy
|
| 18 |
+
inference: true
|
| 19 |
+
widget:
|
| 20 |
+
- example_title: VoxCeleb Speaker id10003
|
| 21 |
+
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb1_00003.wav
|
| 22 |
+
- example_title: VoxCeleb Speaker id10004
|
| 23 |
+
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb_00004.wav
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
+
# Speaker Identification with ECAPA-TDNN embeddings on Voxceleb
|
| 27 |
+
|
| 28 |
+
This repository provides a pretrained ECAPA-TDNN model using SpeechBrain. The system can be used to extract speaker embeddings as well. Since we can't find any resource that has SpeechBrain or HuggingFace compatible checkpoints that has only been trained on VoxCeleb2 development data, so we decide to pre-train an ECAPA-TDNN system from scratch.
|
| 29 |
+
|
| 30 |
+
# Pipeline description
|
| 31 |
+
|
| 32 |
+
This system is composed of an ECAPA-TDNN model. It is a combination of convolutional and residual blocks. The embeddings are extracted using attentive statistical pooling. The system is trained with Additive Margin Softmax Loss.
|
| 33 |
+
|
| 34 |
+
We use FBank (16kHz, 25ms frame length, 10ms hop length, 80 filter-bank channels) as the input features. It was trained using initial learning rate of 0.001 and batch size of 512 with cyclical learning rate policy (CLR) for 20 epochs on 4 A100 GPUs. We employ additive noises and reverberation from [MUSAN](http://www.openslr.org/17/) and [RIR](http://www.openslr.org/28/) datasets to enrich the supervised information. The pre-training progress takes approximately ten days for the ECAPA-TDNN model.
|
| 35 |
+
|
| 36 |
+
# Performance
|
| 37 |
+
|
| 38 |
+
**VoxCeleb1-O** is the original verification test set from VoxCeleb1 consisting of 40 speakers. All speakers with names starting with "E" are reserved for testing. **VoxCeleb1-E** uses the entire VoxCeleb1 dataset, covering 1251 speakers. **VoxCeleb1-H** is a hard version of evaluation set consisting of 552536 pairs with 1190 speakers with the same nationality and gender. There are 18 nationality-gender combinations each with at least 5 individuals.
|
| 39 |
+
|
| 40 |
+
| Splits | Backend | S-norm | EER(%) | minDCF(0.01) |
|
| 41 |
+
|:-------------:|:--------------:|:--------------:|:--------------:|:--------------:|
|
| 42 |
+
| VoxCeleb1-O | cosine | no | 1.29 | 0.13 |
|
| 43 |
+
| VoxCeleb1-O | cosine | yes | 1.19 | 0.11 |
|
| 44 |
+
| VoxCeleb1-E | cosine | no | 1.42 | 0.16 |
|
| 45 |
+
| VoxCeleb1-E | cosine | yes | 1.31 | 0.14 |
|
| 46 |
+
| VoxCeleb1-H | cosine | no | 2.66 | 0.26 |
|
| 47 |
+
| VoxCeleb1-H | cosine | yes | 2.48 | 0.23 |
|
| 48 |
+
|
| 49 |
+
- VoxCeleb1-O: includes 37611 test pairs with 40 speakers.
|
| 50 |
+
- VoxCeleb1-E: includes 579818 test pairs with 1251 speakers.
|
| 51 |
+
- VoxCeleb1-H: includes 550894 test pairs with 1190 speakers.
|
| 52 |
+
|
| 53 |
+
# Compute the speaker embeddings
|
| 54 |
+
|
| 55 |
+
The system is trained with recordings sampled at 16kHz (single channel).
|
| 56 |
+
|
| 57 |
+
```python
|
| 58 |
+
import torch
|
| 59 |
+
import torchaudio
|
| 60 |
+
from speechbrain.pretrained.interfaces import Pretrained
|
| 61 |
+
from speechbrain.pretrained import EncoderClassifier
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
class Encoder(Pretrained):
|
| 65 |
+
|
| 66 |
+
MODULES_NEEDED = [
|
| 67 |
+
"compute_features",
|
| 68 |
+
"mean_var_norm",
|
| 69 |
+
"embedding_model"
|
| 70 |
+
]
|
| 71 |
+
|
| 72 |
+
def __init__(self, *args, **kwargs):
|
| 73 |
+
super().__init__(*args, **kwargs)
|
| 74 |
+
|
| 75 |
+
def encode_batch(self, wavs, wav_lens=None, normalize=False):
|
| 76 |
+
# Manage single waveforms in input
|
| 77 |
+
if len(wavs.shape) == 1:
|
| 78 |
+
wavs = wavs.unsqueeze(0)
|
| 79 |
+
|
| 80 |
+
# Assign full length if wav_lens is not assigned
|
| 81 |
+
if wav_lens is None:
|
| 82 |
+
wav_lens = torch.ones(wavs.shape[0], device=self.device)
|
| 83 |
+
|
| 84 |
+
# Storing waveform in the specified device
|
| 85 |
+
wavs, wav_lens = wavs.to(self.device), wav_lens.to(self.device)
|
| 86 |
+
wavs = wavs.float()
|
| 87 |
+
|
| 88 |
+
# Computing features and embeddings
|
| 89 |
+
feats = self.mods.compute_features(wavs)
|
| 90 |
+
feats = self.mods.mean_var_norm(feats, wav_lens)
|
| 91 |
+
embeddings = self.mods.embedding_model(feats, wav_lens)
|
| 92 |
+
if normalize:
|
| 93 |
+
embeddings = self.hparams.mean_var_norm_emb(
|
| 94 |
+
embeddings,
|
| 95 |
+
torch.ones(embeddings.shape[0], device=self.device)
|
| 96 |
+
)
|
| 97 |
+
return embeddings
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
classifier = Encoder.from_hparams(
|
| 101 |
+
source="yangwang825/ecapa-tdnn-vox2"
|
| 102 |
+
)
|
| 103 |
+
signal, fs = torchaudio.load('spk1_snt1.wav')
|
| 104 |
+
embeddings = classifier.encode_batch(signal)
|
| 105 |
+
>>> torch.Size([1, 1, 192])
|
| 106 |
+
```
|
| 107 |
+
|
| 108 |
+
We will release our training results (models, logs, etc) shortly.
|
| 109 |
+
|
| 110 |
+
# References
|
| 111 |
+
|
| 112 |
+
1. Ravanelli et al., SpeechBrain: A General-Purpose Speech Toolkit, 2021
|
| 113 |
+
2. Desplanques et al., ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification, 2020
|
models/ecapa-tdnn-vox2/classifier.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:47d4074130c9c083a575ad0305328e8df28c26e859a018052735d174bda650de
|
| 3 |
+
size 4604276
|
models/ecapa-tdnn-vox2/embedding_model.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9c25a7b62e68b1ad75831cda9b4c5e5e21672580c9a11cb369db7e1f2250bbf
|
| 3 |
+
size 24942907
|
models/ecapa-tdnn-vox2/hyperparams.yaml
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# ############################################################################
|
| 2 |
+
# Model: ECAPA small for Speaker verification
|
| 3 |
+
# Authors: Yang Wang
|
| 4 |
+
# ############################################################################
|
| 5 |
+
|
| 6 |
+
# Feature parameters
|
| 7 |
+
n_mels: 80
|
| 8 |
+
deltas: False
|
| 9 |
+
|
| 10 |
+
# Pretrain folder (HuggingFace)
|
| 11 |
+
pretrained_path: yangwang825/ecapa-tdnn-vox2
|
| 12 |
+
|
| 13 |
+
# Output parameters
|
| 14 |
+
out_n_neurons: 5994
|
| 15 |
+
|
| 16 |
+
# Model params
|
| 17 |
+
compute_features: !new:speechbrain.lobes.features.Fbank
|
| 18 |
+
n_mels: !ref <n_mels>
|
| 19 |
+
deltas: !ref <deltas>
|
| 20 |
+
|
| 21 |
+
mean_var_norm: !new:speechbrain.processing.features.InputNormalization
|
| 22 |
+
norm_type: sentence
|
| 23 |
+
std_norm: False
|
| 24 |
+
|
| 25 |
+
embedding_model: !new:speechbrain.lobes.models.ECAPA_TDNN.ECAPA_TDNN
|
| 26 |
+
input_size: !ref <n_mels>
|
| 27 |
+
channels: [512, 512, 512, 512, 1536]
|
| 28 |
+
kernel_sizes: [5, 3, 3, 3, 1]
|
| 29 |
+
dilations: [1, 2, 3, 4, 1]
|
| 30 |
+
groups: [1, 1, 1, 1, 1]
|
| 31 |
+
attention_channels: 128
|
| 32 |
+
lin_neurons: 192
|
| 33 |
+
|
| 34 |
+
classifier: !new:speechbrain.lobes.models.ECAPA_TDNN.Classifier
|
| 35 |
+
input_size: 192
|
| 36 |
+
out_neurons: !ref <out_n_neurons>
|
| 37 |
+
|
| 38 |
+
modules:
|
| 39 |
+
compute_features: !ref <compute_features>
|
| 40 |
+
mean_var_norm: !ref <mean_var_norm>
|
| 41 |
+
embedding_model: !ref <embedding_model>
|
| 42 |
+
classifier: !ref <classifier>
|
| 43 |
+
|
| 44 |
+
label_encoder: !new:speechbrain.dataio.encoder.CategoricalEncoder
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
|
| 48 |
+
loadables:
|
| 49 |
+
embedding_model: !ref <embedding_model>
|
| 50 |
+
classifier: !ref <classifier>
|
| 51 |
+
label_encoder: !ref <label_encoder>
|
| 52 |
+
paths:
|
| 53 |
+
embedding_model: !ref <pretrained_path>/embedding_model.ckpt
|
| 54 |
+
classifier: !ref <pretrained_path>/classifier.ckpt
|
| 55 |
+
label_encoder: !ref <pretrained_path>/label_encoder.txt
|
models/ecapa-tdnn-vox2/label_encoder.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
models/ecapa-tdnn-vox2/source.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
https://huggingface.co/yangwang825/ecapa-tdnn-vox2
|
models/ecapa-tdnn-voxceleb1-c512-aam/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
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|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
models/ecapa-tdnn-voxceleb1-c512-aam/README.md
ADDED
|
@@ -0,0 +1,86 @@
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| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags:
|
| 4 |
+
- audio-classification
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- voxceleb
|
| 8 |
+
metrics:
|
| 9 |
+
- accuracy
|
| 10 |
+
model-index:
|
| 11 |
+
- name: ecapa-tdnn-voxceleb1-c512-aam
|
| 12 |
+
results:
|
| 13 |
+
- task:
|
| 14 |
+
name: Audio Classification
|
| 15 |
+
type: audio-classification
|
| 16 |
+
dataset:
|
| 17 |
+
name: confit/voxceleb
|
| 18 |
+
type: voxceleb
|
| 19 |
+
config: verification
|
| 20 |
+
split: train
|
| 21 |
+
args: verification
|
| 22 |
+
metrics:
|
| 23 |
+
- name: Accuracy
|
| 24 |
+
type: accuracy
|
| 25 |
+
value: 0.9757901815736382
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 29 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 30 |
+
|
| 31 |
+
# ecapa-tdnn-voxceleb1-c512-aam
|
| 32 |
+
|
| 33 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on the confit/voxceleb dataset.
|
| 34 |
+
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 0.5840
|
| 36 |
+
- Accuracy: 0.9758
|
| 37 |
+
|
| 38 |
+
## Model description
|
| 39 |
+
|
| 40 |
+
More information needed
|
| 41 |
+
|
| 42 |
+
## Intended uses & limitations
|
| 43 |
+
|
| 44 |
+
More information needed
|
| 45 |
+
|
| 46 |
+
## Training and evaluation data
|
| 47 |
+
|
| 48 |
+
More information needed
|
| 49 |
+
|
| 50 |
+
## Training procedure
|
| 51 |
+
|
| 52 |
+
### Training hyperparameters
|
| 53 |
+
|
| 54 |
+
The following hyperparameters were used during training:
|
| 55 |
+
- learning_rate: 0.0005
|
| 56 |
+
- train_batch_size: 256
|
| 57 |
+
- eval_batch_size: 1
|
| 58 |
+
- seed: 914
|
| 59 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 60 |
+
- lr_scheduler_type: linear
|
| 61 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 62 |
+
- num_epochs: 10.0
|
| 63 |
+
- mixed_precision_training: Native AMP
|
| 64 |
+
|
| 65 |
+
### Training results
|
| 66 |
+
|
| 67 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 68 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 69 |
+
| 9.047 | 1.0 | 575 | 8.3662 | 0.4304 |
|
| 70 |
+
| 5.3508 | 2.0 | 1150 | 4.0252 | 0.8191 |
|
| 71 |
+
| 3.3124 | 3.0 | 1725 | 2.1083 | 0.9260 |
|
| 72 |
+
| 2.3212 | 4.0 | 2300 | 1.2224 | 0.9435 |
|
| 73 |
+
| 1.6276 | 5.0 | 2875 | 0.8229 | 0.9677 |
|
| 74 |
+
| 1.1418 | 6.0 | 3450 | 0.5840 | 0.9758 |
|
| 75 |
+
| 1.0484 | 7.0 | 4025 | 0.5781 | 0.9738 |
|
| 76 |
+
| 0.0 | 8.0 | 4600 | nan | 0.0007 |
|
| 77 |
+
| 0.0 | 9.0 | 5175 | nan | 0.0007 |
|
| 78 |
+
| 0.0 | 10.0 | 5750 | nan | 0.0007 |
|
| 79 |
+
|
| 80 |
+
|
| 81 |
+
### Framework versions
|
| 82 |
+
|
| 83 |
+
- Transformers 4.48.3
|
| 84 |
+
- Pytorch 2.0.0+cu117
|
| 85 |
+
- Datasets 3.2.0
|
| 86 |
+
- Tokenizers 0.21.0
|
models/ecapa-tdnn-voxceleb1-c512-aam/all_results.json
ADDED
|
@@ -0,0 +1,13 @@
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| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.9757901815736382,
|
| 4 |
+
"eval_loss": 0.5840117335319519,
|
| 5 |
+
"eval_runtime": 13.1656,
|
| 6 |
+
"eval_samples_per_second": 112.946,
|
| 7 |
+
"eval_steps_per_second": 112.946,
|
| 8 |
+
"total_flos": 2.7398100529152e+18,
|
| 9 |
+
"train_loss": 2.9414075751926587,
|
| 10 |
+
"train_runtime": 59857.6179,
|
| 11 |
+
"train_samples_per_second": 24.584,
|
| 12 |
+
"train_steps_per_second": 0.096
|
| 13 |
+
}
|
models/ecapa-tdnn-voxceleb1-c512-aam/angular_loss.py
ADDED
|
@@ -0,0 +1,68 @@
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| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
|
| 5 |
+
class Loss(nn.modules.loss._Loss):
|
| 6 |
+
"""Inherit this class to implement custom loss."""
|
| 7 |
+
|
| 8 |
+
def __init__(self, **kwargs):
|
| 9 |
+
super(Loss, self).__init__(**kwargs)
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
class AdditiveMarginSoftmaxLoss(Loss):
|
| 13 |
+
"""Computes Additive Margin Softmax (CosFace) Loss
|
| 14 |
+
|
| 15 |
+
Paper: CosFace: Large Margin Cosine Loss for Deep Face Recognition
|
| 16 |
+
|
| 17 |
+
args:
|
| 18 |
+
scale: scale value for cosine angle
|
| 19 |
+
margin: margin value added to cosine angle
|
| 20 |
+
"""
|
| 21 |
+
|
| 22 |
+
def __init__(self, scale=30.0, margin=0.2):
|
| 23 |
+
super().__init__()
|
| 24 |
+
|
| 25 |
+
self.eps = 1e-7
|
| 26 |
+
self.scale = scale
|
| 27 |
+
self.margin = margin
|
| 28 |
+
|
| 29 |
+
def forward(self, logits: torch.Tensor, labels: torch.Tensor):
|
| 30 |
+
# Extract the logits corresponding to the true class
|
| 31 |
+
logits_target = logits[torch.arange(logits.size(0)), labels] # Faster indexing
|
| 32 |
+
numerator = self.scale * (logits_target - self.margin) # Apply additive margin
|
| 33 |
+
# Exclude the target logits from denominator calculation
|
| 34 |
+
logits.scatter_(1, labels.unsqueeze(1), float('-inf')) # Mask target class
|
| 35 |
+
denominator = torch.exp(numerator) + torch.sum(torch.exp(self.scale * logits), dim=1)
|
| 36 |
+
# Compute final loss
|
| 37 |
+
loss = -torch.log(torch.exp(numerator) / denominator)
|
| 38 |
+
return loss.mean()
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
class AdditiveAngularMarginSoftmaxLoss(Loss):
|
| 42 |
+
"""Computes Additive Angular Margin Softmax (ArcFace) Loss
|
| 43 |
+
|
| 44 |
+
Paper: ArcFace: Additive Angular Margin Loss for Deep Face Recognition
|
| 45 |
+
|
| 46 |
+
Args:
|
| 47 |
+
scale: scale value for cosine angle
|
| 48 |
+
margin: margin value added to cosine angle
|
| 49 |
+
"""
|
| 50 |
+
|
| 51 |
+
def __init__(self, scale=20.0, margin=1.35):
|
| 52 |
+
super().__init__()
|
| 53 |
+
|
| 54 |
+
self.eps = 1e-7
|
| 55 |
+
self.scale = scale
|
| 56 |
+
self.margin = margin
|
| 57 |
+
|
| 58 |
+
def forward(self, logits: torch.Tensor, labels: torch.Tensor):
|
| 59 |
+
numerator = self.scale * torch.cos(
|
| 60 |
+
torch.acos(torch.clamp(torch.diagonal(logits.transpose(0, 1)[labels]), -1.0 + self.eps, 1 - self.eps))
|
| 61 |
+
+ self.margin
|
| 62 |
+
)
|
| 63 |
+
excl = torch.cat(
|
| 64 |
+
[torch.cat((logits[i, :y], logits[i, y + 1 :])).unsqueeze(0) for i, y in enumerate(labels)], dim=0
|
| 65 |
+
)
|
| 66 |
+
denominator = torch.exp(numerator) + torch.sum(torch.exp(self.scale * excl), dim=1)
|
| 67 |
+
L = numerator - torch.log(denominator)
|
| 68 |
+
return -torch.mean(L)
|
models/ecapa-tdnn-voxceleb1-c512-aam/audio_processing.py
ADDED
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@@ -0,0 +1,413 @@
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|
| 1 |
+
import math
|
| 2 |
+
from packaging import version
|
| 3 |
+
from dataclasses import dataclass
|
| 4 |
+
from abc import ABC, abstractmethod
|
| 5 |
+
|
| 6 |
+
import torch
|
| 7 |
+
|
| 8 |
+
try:
|
| 9 |
+
import torchaudio
|
| 10 |
+
import torchaudio.functional
|
| 11 |
+
import torchaudio.transforms
|
| 12 |
+
|
| 13 |
+
TORCHAUDIO_VERSION = version.parse(torchaudio.__version__)
|
| 14 |
+
TORCHAUDIO_VERSION_MIN = version.parse('0.5')
|
| 15 |
+
|
| 16 |
+
HAVE_TORCHAUDIO = True
|
| 17 |
+
except ModuleNotFoundError:
|
| 18 |
+
HAVE_TORCHAUDIO = False
|
| 19 |
+
|
| 20 |
+
from .module import NeuralModule
|
| 21 |
+
from .features import FilterbankFeatures, FilterbankFeaturesTA
|
| 22 |
+
from .spectrogram_augment import SpecCutout, SpecAugment
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
class AudioPreprocessor(NeuralModule, ABC):
|
| 26 |
+
"""
|
| 27 |
+
An interface for Neural Modules that performs audio pre-processing,
|
| 28 |
+
transforming the wav files to features.
|
| 29 |
+
"""
|
| 30 |
+
|
| 31 |
+
def __init__(self, win_length, hop_length):
|
| 32 |
+
super().__init__()
|
| 33 |
+
|
| 34 |
+
self.win_length = win_length
|
| 35 |
+
self.hop_length = hop_length
|
| 36 |
+
|
| 37 |
+
self.torch_windows = {
|
| 38 |
+
'hann': torch.hann_window,
|
| 39 |
+
'hamming': torch.hamming_window,
|
| 40 |
+
'blackman': torch.blackman_window,
|
| 41 |
+
'bartlett': torch.bartlett_window,
|
| 42 |
+
'ones': torch.ones,
|
| 43 |
+
None: torch.ones,
|
| 44 |
+
}
|
| 45 |
+
|
| 46 |
+
# Normally, when you call to(dtype) on a torch.nn.Module, all
|
| 47 |
+
# floating point parameters and buffers will change to that
|
| 48 |
+
# dtype, rather than being float32. The AudioPreprocessor
|
| 49 |
+
# classes, uniquely, don't actually have any parameters or
|
| 50 |
+
# buffers from what I see. In addition, we want the input to
|
| 51 |
+
# the preprocessor to be float32, but need to create the
|
| 52 |
+
# output in appropriate precision. We have this empty tensor
|
| 53 |
+
# here just to detect which dtype tensor this module should
|
| 54 |
+
# output at the end of execution.
|
| 55 |
+
self.register_buffer("dtype_sentinel_tensor", torch.tensor((), dtype=torch.float32), persistent=False)
|
| 56 |
+
|
| 57 |
+
@torch.no_grad()
|
| 58 |
+
def forward(self, input_signal, length):
|
| 59 |
+
processed_signal, processed_length = self.get_features(input_signal.to(torch.float32), length)
|
| 60 |
+
processed_signal = processed_signal.to(self.dtype_sentinel_tensor.dtype)
|
| 61 |
+
return processed_signal, processed_length
|
| 62 |
+
|
| 63 |
+
@abstractmethod
|
| 64 |
+
def get_features(self, input_signal, length):
|
| 65 |
+
# Called by forward(). Subclasses should implement this.
|
| 66 |
+
pass
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
class AudioToMelSpectrogramPreprocessor(AudioPreprocessor):
|
| 70 |
+
"""Featurizer module that converts wavs to mel spectrograms.
|
| 71 |
+
|
| 72 |
+
Args:
|
| 73 |
+
sample_rate (int): Sample rate of the input audio data.
|
| 74 |
+
Defaults to 16000
|
| 75 |
+
window_size (float): Size of window for fft in seconds
|
| 76 |
+
Defaults to 0.02
|
| 77 |
+
window_stride (float): Stride of window for fft in seconds
|
| 78 |
+
Defaults to 0.01
|
| 79 |
+
n_window_size (int): Size of window for fft in samples
|
| 80 |
+
Defaults to None. Use one of window_size or n_window_size.
|
| 81 |
+
n_window_stride (int): Stride of window for fft in samples
|
| 82 |
+
Defaults to None. Use one of window_stride or n_window_stride.
|
| 83 |
+
window (str): Windowing function for fft. can be one of ['hann',
|
| 84 |
+
'hamming', 'blackman', 'bartlett']
|
| 85 |
+
Defaults to "hann"
|
| 86 |
+
normalize (str): Can be one of ['per_feature', 'all_features']; all
|
| 87 |
+
other options disable feature normalization. 'all_features'
|
| 88 |
+
normalizes the entire spectrogram to be mean 0 with std 1.
|
| 89 |
+
'pre_features' normalizes per channel / freq instead.
|
| 90 |
+
Defaults to "per_feature"
|
| 91 |
+
n_fft (int): Length of FT window. If None, it uses the smallest power
|
| 92 |
+
of 2 that is larger than n_window_size.
|
| 93 |
+
Defaults to None
|
| 94 |
+
preemph (float): Amount of pre emphasis to add to audio. Can be
|
| 95 |
+
disabled by passing None.
|
| 96 |
+
Defaults to 0.97
|
| 97 |
+
features (int): Number of mel spectrogram freq bins to output.
|
| 98 |
+
Defaults to 64
|
| 99 |
+
lowfreq (int): Lower bound on mel basis in Hz.
|
| 100 |
+
Defaults to 0
|
| 101 |
+
highfreq (int): Lower bound on mel basis in Hz.
|
| 102 |
+
Defaults to None
|
| 103 |
+
log (bool): Log features.
|
| 104 |
+
Defaults to True
|
| 105 |
+
log_zero_guard_type(str): Need to avoid taking the log of zero. There
|
| 106 |
+
are two options: "add" or "clamp".
|
| 107 |
+
Defaults to "add".
|
| 108 |
+
log_zero_guard_value(float, or str): Add or clamp requires the number
|
| 109 |
+
to add with or clamp to. log_zero_guard_value can either be a float
|
| 110 |
+
or "tiny" or "eps". torch.finfo is used if "tiny" or "eps" is
|
| 111 |
+
passed.
|
| 112 |
+
Defaults to 2**-24.
|
| 113 |
+
dither (float): Amount of white-noise dithering.
|
| 114 |
+
Defaults to 1e-5
|
| 115 |
+
pad_to (int): Ensures that the output size of the time dimension is
|
| 116 |
+
a multiple of pad_to.
|
| 117 |
+
Defaults to 16
|
| 118 |
+
frame_splicing (int): Defaults to 1
|
| 119 |
+
exact_pad (bool): If True, sets stft center to False and adds padding, such that num_frames = audio_length
|
| 120 |
+
// hop_length. Defaults to False.
|
| 121 |
+
pad_value (float): The value that shorter mels are padded with.
|
| 122 |
+
Defaults to 0
|
| 123 |
+
mag_power (float): The power that the linear spectrogram is raised to
|
| 124 |
+
prior to multiplication with mel basis.
|
| 125 |
+
Defaults to 2 for a power spec
|
| 126 |
+
rng : Random number generator
|
| 127 |
+
nb_augmentation_prob (float) : Probability with which narrowband augmentation would be applied to
|
| 128 |
+
samples in the batch.
|
| 129 |
+
Defaults to 0.0
|
| 130 |
+
nb_max_freq (int) : Frequency above which all frequencies will be masked for narrowband augmentation.
|
| 131 |
+
Defaults to 4000
|
| 132 |
+
use_torchaudio: Whether to use the `torchaudio` implementation.
|
| 133 |
+
mel_norm: Normalization used for mel filterbank weights.
|
| 134 |
+
Defaults to 'slaney' (area normalization)
|
| 135 |
+
stft_exact_pad: Deprecated argument, kept for compatibility with older checkpoints.
|
| 136 |
+
stft_conv: Deprecated argument, kept for compatibility with older checkpoints.
|
| 137 |
+
"""
|
| 138 |
+
|
| 139 |
+
def __init__(
|
| 140 |
+
self,
|
| 141 |
+
sample_rate=16000,
|
| 142 |
+
window_size=0.02,
|
| 143 |
+
window_stride=0.01,
|
| 144 |
+
n_window_size=None,
|
| 145 |
+
n_window_stride=None,
|
| 146 |
+
window="hann",
|
| 147 |
+
normalize="per_feature",
|
| 148 |
+
n_fft=None,
|
| 149 |
+
preemph=0.97,
|
| 150 |
+
features=64,
|
| 151 |
+
lowfreq=0,
|
| 152 |
+
highfreq=None,
|
| 153 |
+
log=True,
|
| 154 |
+
log_zero_guard_type="add",
|
| 155 |
+
log_zero_guard_value=2**-24,
|
| 156 |
+
dither=1e-5,
|
| 157 |
+
pad_to=16,
|
| 158 |
+
frame_splicing=1,
|
| 159 |
+
exact_pad=False,
|
| 160 |
+
pad_value=0,
|
| 161 |
+
mag_power=2.0,
|
| 162 |
+
rng=None,
|
| 163 |
+
nb_augmentation_prob=0.0,
|
| 164 |
+
nb_max_freq=4000,
|
| 165 |
+
use_torchaudio: bool = False,
|
| 166 |
+
mel_norm="slaney",
|
| 167 |
+
stft_exact_pad=False, # Deprecated arguments; kept for config compatibility
|
| 168 |
+
stft_conv=False, # Deprecated arguments; kept for config compatibility
|
| 169 |
+
):
|
| 170 |
+
super().__init__(n_window_size, n_window_stride)
|
| 171 |
+
|
| 172 |
+
self._sample_rate = sample_rate
|
| 173 |
+
if window_size and n_window_size:
|
| 174 |
+
raise ValueError(f"{self} received both window_size and " f"n_window_size. Only one should be specified.")
|
| 175 |
+
if window_stride and n_window_stride:
|
| 176 |
+
raise ValueError(
|
| 177 |
+
f"{self} received both window_stride and " f"n_window_stride. Only one should be specified."
|
| 178 |
+
)
|
| 179 |
+
if window_size:
|
| 180 |
+
n_window_size = int(window_size * self._sample_rate)
|
| 181 |
+
if window_stride:
|
| 182 |
+
n_window_stride = int(window_stride * self._sample_rate)
|
| 183 |
+
|
| 184 |
+
# Given the long and similar argument list, point to the class and instantiate it by reference
|
| 185 |
+
if not use_torchaudio:
|
| 186 |
+
featurizer_class = FilterbankFeatures
|
| 187 |
+
else:
|
| 188 |
+
featurizer_class = FilterbankFeaturesTA
|
| 189 |
+
self.featurizer = featurizer_class(
|
| 190 |
+
sample_rate=self._sample_rate,
|
| 191 |
+
n_window_size=n_window_size,
|
| 192 |
+
n_window_stride=n_window_stride,
|
| 193 |
+
window=window,
|
| 194 |
+
normalize=normalize,
|
| 195 |
+
n_fft=n_fft,
|
| 196 |
+
preemph=preemph,
|
| 197 |
+
nfilt=features,
|
| 198 |
+
lowfreq=lowfreq,
|
| 199 |
+
highfreq=highfreq,
|
| 200 |
+
log=log,
|
| 201 |
+
log_zero_guard_type=log_zero_guard_type,
|
| 202 |
+
log_zero_guard_value=log_zero_guard_value,
|
| 203 |
+
dither=dither,
|
| 204 |
+
pad_to=pad_to,
|
| 205 |
+
frame_splicing=frame_splicing,
|
| 206 |
+
exact_pad=exact_pad,
|
| 207 |
+
pad_value=pad_value,
|
| 208 |
+
mag_power=mag_power,
|
| 209 |
+
rng=rng,
|
| 210 |
+
nb_augmentation_prob=nb_augmentation_prob,
|
| 211 |
+
nb_max_freq=nb_max_freq,
|
| 212 |
+
mel_norm=mel_norm,
|
| 213 |
+
stft_exact_pad=stft_exact_pad, # Deprecated arguments; kept for config compatibility
|
| 214 |
+
stft_conv=stft_conv, # Deprecated arguments; kept for config compatibility
|
| 215 |
+
)
|
| 216 |
+
|
| 217 |
+
def get_features(self, input_signal, length):
|
| 218 |
+
return self.featurizer(input_signal, length)
|
| 219 |
+
|
| 220 |
+
@property
|
| 221 |
+
def filter_banks(self):
|
| 222 |
+
return self.featurizer.filter_banks
|
| 223 |
+
|
| 224 |
+
|
| 225 |
+
class AudioToMFCCPreprocessor(AudioPreprocessor):
|
| 226 |
+
"""Preprocessor that converts wavs to MFCCs.
|
| 227 |
+
Uses torchaudio.transforms.MFCC.
|
| 228 |
+
|
| 229 |
+
Args:
|
| 230 |
+
sample_rate: The sample rate of the audio.
|
| 231 |
+
Defaults to 16000.
|
| 232 |
+
window_size: Size of window for fft in seconds. Used to calculate the
|
| 233 |
+
win_length arg for mel spectrogram.
|
| 234 |
+
Defaults to 0.02
|
| 235 |
+
window_stride: Stride of window for fft in seconds. Used to caculate
|
| 236 |
+
the hop_length arg for mel spect.
|
| 237 |
+
Defaults to 0.01
|
| 238 |
+
n_window_size: Size of window for fft in samples
|
| 239 |
+
Defaults to None. Use one of window_size or n_window_size.
|
| 240 |
+
n_window_stride: Stride of window for fft in samples
|
| 241 |
+
Defaults to None. Use one of window_stride or n_window_stride.
|
| 242 |
+
window: Windowing function for fft. can be one of ['hann',
|
| 243 |
+
'hamming', 'blackman', 'bartlett', 'none', 'null'].
|
| 244 |
+
Defaults to 'hann'
|
| 245 |
+
n_fft: Length of FT window. If None, it uses the smallest power of 2
|
| 246 |
+
that is larger than n_window_size.
|
| 247 |
+
Defaults to None
|
| 248 |
+
lowfreq (int): Lower bound on mel basis in Hz.
|
| 249 |
+
Defaults to 0
|
| 250 |
+
highfreq (int): Lower bound on mel basis in Hz.
|
| 251 |
+
Defaults to None
|
| 252 |
+
n_mels: Number of mel filterbanks.
|
| 253 |
+
Defaults to 64
|
| 254 |
+
n_mfcc: Number of coefficients to retain
|
| 255 |
+
Defaults to 64
|
| 256 |
+
dct_type: Type of discrete cosine transform to use
|
| 257 |
+
norm: Type of norm to use
|
| 258 |
+
log: Whether to use log-mel spectrograms instead of db-scaled.
|
| 259 |
+
Defaults to True.
|
| 260 |
+
"""
|
| 261 |
+
|
| 262 |
+
def __init__(
|
| 263 |
+
self,
|
| 264 |
+
sample_rate=16000,
|
| 265 |
+
window_size=0.02,
|
| 266 |
+
window_stride=0.01,
|
| 267 |
+
n_window_size=None,
|
| 268 |
+
n_window_stride=None,
|
| 269 |
+
window='hann',
|
| 270 |
+
n_fft=None,
|
| 271 |
+
lowfreq=0.0,
|
| 272 |
+
highfreq=None,
|
| 273 |
+
n_mels=64,
|
| 274 |
+
n_mfcc=64,
|
| 275 |
+
dct_type=2,
|
| 276 |
+
norm='ortho',
|
| 277 |
+
log=True,
|
| 278 |
+
):
|
| 279 |
+
self._sample_rate = sample_rate
|
| 280 |
+
if not HAVE_TORCHAUDIO:
|
| 281 |
+
print('Could not import torchaudio. Some features might not work.')
|
| 282 |
+
|
| 283 |
+
raise ModuleNotFoundError(
|
| 284 |
+
"torchaudio is not installed but is necessary for "
|
| 285 |
+
"AudioToMFCCPreprocessor. We recommend you try "
|
| 286 |
+
"building it from source for the PyTorch version you have."
|
| 287 |
+
)
|
| 288 |
+
if window_size and n_window_size:
|
| 289 |
+
raise ValueError(f"{self} received both window_size and " f"n_window_size. Only one should be specified.")
|
| 290 |
+
if window_stride and n_window_stride:
|
| 291 |
+
raise ValueError(
|
| 292 |
+
f"{self} received both window_stride and " f"n_window_stride. Only one should be specified."
|
| 293 |
+
)
|
| 294 |
+
# Get win_length (n_window_size) and hop_length (n_window_stride)
|
| 295 |
+
if window_size:
|
| 296 |
+
n_window_size = int(window_size * self._sample_rate)
|
| 297 |
+
if window_stride:
|
| 298 |
+
n_window_stride = int(window_stride * self._sample_rate)
|
| 299 |
+
|
| 300 |
+
super().__init__(n_window_size, n_window_stride)
|
| 301 |
+
|
| 302 |
+
mel_kwargs = {}
|
| 303 |
+
|
| 304 |
+
mel_kwargs['f_min'] = lowfreq
|
| 305 |
+
mel_kwargs['f_max'] = highfreq
|
| 306 |
+
mel_kwargs['n_mels'] = n_mels
|
| 307 |
+
|
| 308 |
+
mel_kwargs['n_fft'] = n_fft or 2 ** math.ceil(math.log2(n_window_size))
|
| 309 |
+
|
| 310 |
+
mel_kwargs['win_length'] = n_window_size
|
| 311 |
+
mel_kwargs['hop_length'] = n_window_stride
|
| 312 |
+
|
| 313 |
+
# Set window_fn. None defaults to torch.ones.
|
| 314 |
+
window_fn = self.torch_windows.get(window, None)
|
| 315 |
+
if window_fn is None:
|
| 316 |
+
raise ValueError(
|
| 317 |
+
f"Window argument for AudioProcessor is invalid: {window}."
|
| 318 |
+
f"For no window function, use 'ones' or None."
|
| 319 |
+
)
|
| 320 |
+
mel_kwargs['window_fn'] = window_fn
|
| 321 |
+
|
| 322 |
+
# Use torchaudio's implementation of MFCCs as featurizer
|
| 323 |
+
self.featurizer = torchaudio.transforms.MFCC(
|
| 324 |
+
sample_rate=self._sample_rate,
|
| 325 |
+
n_mfcc=n_mfcc,
|
| 326 |
+
dct_type=dct_type,
|
| 327 |
+
norm=norm,
|
| 328 |
+
log_mels=log,
|
| 329 |
+
melkwargs=mel_kwargs,
|
| 330 |
+
)
|
| 331 |
+
|
| 332 |
+
def get_features(self, input_signal, length):
|
| 333 |
+
features = self.featurizer(input_signal)
|
| 334 |
+
seq_len = torch.ceil(length.to(torch.float32) / self.hop_length).to(dtype=torch.long)
|
| 335 |
+
return features, seq_len
|
| 336 |
+
|
| 337 |
+
|
| 338 |
+
class SpectrogramAugmentation(NeuralModule):
|
| 339 |
+
"""
|
| 340 |
+
Performs time and freq cuts in one of two ways.
|
| 341 |
+
SpecAugment zeroes out vertical and horizontal sections as described in
|
| 342 |
+
SpecAugment (https://arxiv.org/abs/1904.08779). Arguments for use with
|
| 343 |
+
SpecAugment are `freq_masks`, `time_masks`, `freq_width`, and `time_width`.
|
| 344 |
+
SpecCutout zeroes out rectangulars as described in Cutout
|
| 345 |
+
(https://arxiv.org/abs/1708.04552). Arguments for use with Cutout are
|
| 346 |
+
`rect_masks`, `rect_freq`, and `rect_time`.
|
| 347 |
+
|
| 348 |
+
Args:
|
| 349 |
+
freq_masks (int): how many frequency segments should be cut.
|
| 350 |
+
Defaults to 0.
|
| 351 |
+
time_masks (int): how many time segments should be cut
|
| 352 |
+
Defaults to 0.
|
| 353 |
+
freq_width (int): maximum number of frequencies to be cut in one
|
| 354 |
+
segment.
|
| 355 |
+
Defaults to 10.
|
| 356 |
+
time_width (int): maximum number of time steps to be cut in one
|
| 357 |
+
segment
|
| 358 |
+
Defaults to 10.
|
| 359 |
+
rect_masks (int): how many rectangular masks should be cut
|
| 360 |
+
Defaults to 0.
|
| 361 |
+
rect_freq (int): maximum size of cut rectangles along the frequency
|
| 362 |
+
dimension
|
| 363 |
+
Defaults to 5.
|
| 364 |
+
rect_time (int): maximum size of cut rectangles along the time
|
| 365 |
+
dimension
|
| 366 |
+
Defaults to 25.
|
| 367 |
+
use_numba_spec_augment: use numba code for Spectrogram augmentation
|
| 368 |
+
use_vectorized_spec_augment: use vectorized code for Spectrogram augmentation
|
| 369 |
+
|
| 370 |
+
"""
|
| 371 |
+
|
| 372 |
+
def __init__(
|
| 373 |
+
self,
|
| 374 |
+
freq_masks=0,
|
| 375 |
+
time_masks=0,
|
| 376 |
+
freq_width=10,
|
| 377 |
+
time_width=10,
|
| 378 |
+
rect_masks=0,
|
| 379 |
+
rect_time=5,
|
| 380 |
+
rect_freq=20,
|
| 381 |
+
rng=None,
|
| 382 |
+
mask_value=0.0,
|
| 383 |
+
use_vectorized_spec_augment: bool = True,
|
| 384 |
+
):
|
| 385 |
+
super().__init__()
|
| 386 |
+
|
| 387 |
+
if rect_masks > 0:
|
| 388 |
+
self.spec_cutout = SpecCutout(
|
| 389 |
+
rect_masks=rect_masks,
|
| 390 |
+
rect_time=rect_time,
|
| 391 |
+
rect_freq=rect_freq,
|
| 392 |
+
rng=rng,
|
| 393 |
+
)
|
| 394 |
+
# self.spec_cutout.to(self._device)
|
| 395 |
+
else:
|
| 396 |
+
self.spec_cutout = lambda input_spec: input_spec
|
| 397 |
+
if freq_masks + time_masks > 0:
|
| 398 |
+
self.spec_augment = SpecAugment(
|
| 399 |
+
freq_masks=freq_masks,
|
| 400 |
+
time_masks=time_masks,
|
| 401 |
+
freq_width=freq_width,
|
| 402 |
+
time_width=time_width,
|
| 403 |
+
rng=rng,
|
| 404 |
+
mask_value=mask_value,
|
| 405 |
+
use_vectorized_code=use_vectorized_spec_augment,
|
| 406 |
+
)
|
| 407 |
+
else:
|
| 408 |
+
self.spec_augment = lambda input_spec, length: input_spec
|
| 409 |
+
|
| 410 |
+
def forward(self, input_spec, length):
|
| 411 |
+
augmented_spec = self.spec_cutout(input_spec=input_spec)
|
| 412 |
+
augmented_spec = self.spec_augment(input_spec=augmented_spec, length=length)
|
| 413 |
+
return augmented_spec
|
models/ecapa-tdnn-voxceleb1-c512-aam/config.json
ADDED
|
@@ -0,0 +1,2590 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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1,
|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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1
|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 69 |
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| 70 |
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| 1680 |
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| 1685 |
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| 1689 |
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| 1690 |
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| 1693 |
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| 1694 |
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| 1695 |
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| 1696 |
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| 1697 |
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| 1698 |
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| 1699 |
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| 1700 |
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| 1701 |
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| 1703 |
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| 1704 |
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| 1705 |
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| 1706 |
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| 1707 |
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| 1708 |
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| 1709 |
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| 1710 |
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| 1711 |
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| 1712 |
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| 1713 |
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| 1714 |
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| 1715 |
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| 1716 |
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| 1717 |
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| 1718 |
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| 1719 |
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| 1720 |
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|
| 1721 |
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| 1722 |
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| 1723 |
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|
| 1724 |
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| 1725 |
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|
| 1726 |
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|
| 1727 |
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|
| 1728 |
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|
| 1729 |
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|
| 1730 |
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|
| 1731 |
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|
| 1732 |
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|
| 1733 |
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|
| 1734 |
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|
| 1735 |
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|
| 1736 |
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|
| 1737 |
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|
| 1738 |
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|
| 1739 |
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|
| 1740 |
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|
| 1741 |
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|
| 1742 |
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|
| 1743 |
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|
| 1744 |
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|
| 1745 |
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|
| 1746 |
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|
| 1747 |
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|
| 1748 |
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|
| 1749 |
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|
| 1750 |
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|
| 1751 |
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|
| 1752 |
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|
| 1753 |
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|
| 1754 |
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|
| 1755 |
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|
| 1756 |
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|
| 1757 |
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|
| 1758 |
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|
| 1759 |
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|
| 1760 |
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|
| 1761 |
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|
| 1762 |
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|
| 1763 |
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|
| 1764 |
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|
| 1765 |
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|
| 1766 |
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|
| 1767 |
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|
| 1768 |
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|
| 1769 |
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|
| 1770 |
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|
| 1771 |
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|
| 1772 |
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|
| 1773 |
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|
| 1774 |
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|
| 1775 |
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|
| 1776 |
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|
| 1777 |
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|
| 1778 |
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|
| 1779 |
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|
| 1780 |
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|
| 1781 |
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|
| 1782 |
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|
| 1783 |
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|
| 1784 |
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|
| 1785 |
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|
| 1786 |
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|
| 1787 |
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|
| 1788 |
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|
| 1789 |
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|
| 1790 |
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|
| 1791 |
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|
| 1792 |
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|
| 1793 |
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|
| 1794 |
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|
| 1795 |
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|
| 1796 |
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|
| 1797 |
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|
| 1798 |
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|
| 1799 |
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|
| 1800 |
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|
| 1801 |
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|
| 1802 |
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|
| 1803 |
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|
| 1804 |
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|
| 1805 |
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|
| 1806 |
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|
| 1807 |
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|
| 1808 |
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|
| 1809 |
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|
| 1810 |
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|
| 1811 |
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|
| 1812 |
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|
| 1813 |
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|
| 1814 |
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|
| 1815 |
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|
| 1816 |
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|
| 1817 |
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|
| 1818 |
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|
| 1819 |
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|
| 1820 |
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|
| 1821 |
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|
| 1822 |
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|
| 1823 |
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|
| 1824 |
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|
| 1825 |
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|
| 1826 |
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|
| 1827 |
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|
| 1828 |
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|
| 1829 |
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"id10572": "531",
|
| 1830 |
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|
| 1831 |
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|
| 1832 |
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|
| 1833 |
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|
| 1834 |
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|
| 1835 |
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|
| 1836 |
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|
| 1837 |
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|
| 1838 |
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|
| 1839 |
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|
| 1840 |
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|
| 1841 |
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|
| 1842 |
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|
| 1843 |
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|
| 1844 |
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|
| 1845 |
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|
| 1846 |
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|
| 1847 |
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|
| 1848 |
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|
| 1849 |
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|
| 1850 |
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|
| 1851 |
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|
| 1852 |
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|
| 1853 |
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|
| 1854 |
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|
| 1855 |
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| 1856 |
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|
| 1857 |
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|
| 1858 |
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|
| 1859 |
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|
| 1860 |
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"id10603": "562",
|
| 1861 |
+
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|
| 1862 |
+
"id10605": "564",
|
| 1863 |
+
"id10606": "565",
|
| 1864 |
+
"id10607": "566",
|
| 1865 |
+
"id10608": "567",
|
| 1866 |
+
"id10609": "568",
|
| 1867 |
+
"id10610": "569",
|
| 1868 |
+
"id10611": "570",
|
| 1869 |
+
"id10612": "571",
|
| 1870 |
+
"id10613": "572",
|
| 1871 |
+
"id10614": "573",
|
| 1872 |
+
"id10615": "574",
|
| 1873 |
+
"id10616": "575",
|
| 1874 |
+
"id10617": "576",
|
| 1875 |
+
"id10618": "577",
|
| 1876 |
+
"id10619": "578",
|
| 1877 |
+
"id10620": "579",
|
| 1878 |
+
"id10621": "580",
|
| 1879 |
+
"id10622": "581",
|
| 1880 |
+
"id10623": "582",
|
| 1881 |
+
"id10624": "583",
|
| 1882 |
+
"id10625": "584",
|
| 1883 |
+
"id10626": "585",
|
| 1884 |
+
"id10627": "586",
|
| 1885 |
+
"id10628": "587",
|
| 1886 |
+
"id10629": "588",
|
| 1887 |
+
"id10630": "589",
|
| 1888 |
+
"id10631": "590",
|
| 1889 |
+
"id10632": "591",
|
| 1890 |
+
"id10633": "592",
|
| 1891 |
+
"id10634": "593",
|
| 1892 |
+
"id10635": "594",
|
| 1893 |
+
"id10636": "595",
|
| 1894 |
+
"id10637": "596",
|
| 1895 |
+
"id10638": "597",
|
| 1896 |
+
"id10639": "598",
|
| 1897 |
+
"id10640": "599",
|
| 1898 |
+
"id10641": "600",
|
| 1899 |
+
"id10642": "601",
|
| 1900 |
+
"id10643": "602",
|
| 1901 |
+
"id10644": "603",
|
| 1902 |
+
"id10645": "604",
|
| 1903 |
+
"id10646": "605",
|
| 1904 |
+
"id10647": "606",
|
| 1905 |
+
"id10648": "607",
|
| 1906 |
+
"id10649": "608",
|
| 1907 |
+
"id10650": "609",
|
| 1908 |
+
"id10651": "610",
|
| 1909 |
+
"id10652": "611",
|
| 1910 |
+
"id10653": "612",
|
| 1911 |
+
"id10654": "613",
|
| 1912 |
+
"id10655": "614",
|
| 1913 |
+
"id10656": "615",
|
| 1914 |
+
"id10657": "616",
|
| 1915 |
+
"id10658": "617",
|
| 1916 |
+
"id10659": "618",
|
| 1917 |
+
"id10660": "619",
|
| 1918 |
+
"id10661": "620",
|
| 1919 |
+
"id10662": "621",
|
| 1920 |
+
"id10663": "622",
|
| 1921 |
+
"id10664": "623",
|
| 1922 |
+
"id10665": "624",
|
| 1923 |
+
"id10666": "625",
|
| 1924 |
+
"id10667": "626",
|
| 1925 |
+
"id10668": "627",
|
| 1926 |
+
"id10669": "628",
|
| 1927 |
+
"id10670": "629",
|
| 1928 |
+
"id10671": "630",
|
| 1929 |
+
"id10672": "631",
|
| 1930 |
+
"id10673": "632",
|
| 1931 |
+
"id10674": "633",
|
| 1932 |
+
"id10675": "634",
|
| 1933 |
+
"id10676": "635",
|
| 1934 |
+
"id10677": "636",
|
| 1935 |
+
"id10678": "637",
|
| 1936 |
+
"id10679": "638",
|
| 1937 |
+
"id10680": "639",
|
| 1938 |
+
"id10681": "640",
|
| 1939 |
+
"id10682": "641",
|
| 1940 |
+
"id10683": "642",
|
| 1941 |
+
"id10684": "643",
|
| 1942 |
+
"id10685": "644",
|
| 1943 |
+
"id10686": "645",
|
| 1944 |
+
"id10687": "646",
|
| 1945 |
+
"id10688": "647",
|
| 1946 |
+
"id10689": "648",
|
| 1947 |
+
"id10690": "649",
|
| 1948 |
+
"id10691": "650",
|
| 1949 |
+
"id10692": "651",
|
| 1950 |
+
"id10693": "652",
|
| 1951 |
+
"id10694": "653",
|
| 1952 |
+
"id10695": "654",
|
| 1953 |
+
"id10696": "655",
|
| 1954 |
+
"id10697": "656",
|
| 1955 |
+
"id10698": "657",
|
| 1956 |
+
"id10699": "658",
|
| 1957 |
+
"id10700": "659",
|
| 1958 |
+
"id10701": "660",
|
| 1959 |
+
"id10702": "661",
|
| 1960 |
+
"id10703": "662",
|
| 1961 |
+
"id10704": "663",
|
| 1962 |
+
"id10705": "664",
|
| 1963 |
+
"id10706": "665",
|
| 1964 |
+
"id10707": "666",
|
| 1965 |
+
"id10708": "667",
|
| 1966 |
+
"id10709": "668",
|
| 1967 |
+
"id10710": "669",
|
| 1968 |
+
"id10711": "670",
|
| 1969 |
+
"id10712": "671",
|
| 1970 |
+
"id10713": "672",
|
| 1971 |
+
"id10714": "673",
|
| 1972 |
+
"id10715": "674",
|
| 1973 |
+
"id10716": "675",
|
| 1974 |
+
"id10717": "676",
|
| 1975 |
+
"id10718": "677",
|
| 1976 |
+
"id10719": "678",
|
| 1977 |
+
"id10720": "679",
|
| 1978 |
+
"id10721": "680",
|
| 1979 |
+
"id10722": "681",
|
| 1980 |
+
"id10723": "682",
|
| 1981 |
+
"id10724": "683",
|
| 1982 |
+
"id10725": "684",
|
| 1983 |
+
"id10726": "685",
|
| 1984 |
+
"id10727": "686",
|
| 1985 |
+
"id10728": "687",
|
| 1986 |
+
"id10729": "688",
|
| 1987 |
+
"id10730": "689",
|
| 1988 |
+
"id10731": "690",
|
| 1989 |
+
"id10732": "691",
|
| 1990 |
+
"id10733": "692",
|
| 1991 |
+
"id10734": "693",
|
| 1992 |
+
"id10735": "694",
|
| 1993 |
+
"id10736": "695",
|
| 1994 |
+
"id10737": "696",
|
| 1995 |
+
"id10738": "697",
|
| 1996 |
+
"id10739": "698",
|
| 1997 |
+
"id10740": "699",
|
| 1998 |
+
"id10741": "700",
|
| 1999 |
+
"id10742": "701",
|
| 2000 |
+
"id10743": "702",
|
| 2001 |
+
"id10744": "703",
|
| 2002 |
+
"id10745": "704",
|
| 2003 |
+
"id10746": "705",
|
| 2004 |
+
"id10747": "706",
|
| 2005 |
+
"id10748": "707",
|
| 2006 |
+
"id10749": "708",
|
| 2007 |
+
"id10750": "709",
|
| 2008 |
+
"id10751": "710",
|
| 2009 |
+
"id10752": "711",
|
| 2010 |
+
"id10753": "712",
|
| 2011 |
+
"id10754": "713",
|
| 2012 |
+
"id10755": "714",
|
| 2013 |
+
"id10756": "715",
|
| 2014 |
+
"id10757": "716",
|
| 2015 |
+
"id10758": "717",
|
| 2016 |
+
"id10759": "718",
|
| 2017 |
+
"id10760": "719",
|
| 2018 |
+
"id10761": "720",
|
| 2019 |
+
"id10762": "721",
|
| 2020 |
+
"id10763": "722",
|
| 2021 |
+
"id10764": "723",
|
| 2022 |
+
"id10765": "724",
|
| 2023 |
+
"id10766": "725",
|
| 2024 |
+
"id10767": "726",
|
| 2025 |
+
"id10768": "727",
|
| 2026 |
+
"id10769": "728",
|
| 2027 |
+
"id10770": "729",
|
| 2028 |
+
"id10771": "730",
|
| 2029 |
+
"id10772": "731",
|
| 2030 |
+
"id10773": "732",
|
| 2031 |
+
"id10774": "733",
|
| 2032 |
+
"id10775": "734",
|
| 2033 |
+
"id10776": "735",
|
| 2034 |
+
"id10777": "736",
|
| 2035 |
+
"id10778": "737",
|
| 2036 |
+
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|
| 2037 |
+
"id10780": "739",
|
| 2038 |
+
"id10781": "740",
|
| 2039 |
+
"id10782": "741",
|
| 2040 |
+
"id10783": "742",
|
| 2041 |
+
"id10784": "743",
|
| 2042 |
+
"id10785": "744",
|
| 2043 |
+
"id10786": "745",
|
| 2044 |
+
"id10787": "746",
|
| 2045 |
+
"id10788": "747",
|
| 2046 |
+
"id10789": "748",
|
| 2047 |
+
"id10790": "749",
|
| 2048 |
+
"id10791": "750",
|
| 2049 |
+
"id10792": "751",
|
| 2050 |
+
"id10793": "752",
|
| 2051 |
+
"id10794": "753",
|
| 2052 |
+
"id10795": "754",
|
| 2053 |
+
"id10796": "755",
|
| 2054 |
+
"id10797": "756",
|
| 2055 |
+
"id10798": "757",
|
| 2056 |
+
"id10799": "758",
|
| 2057 |
+
"id10800": "759",
|
| 2058 |
+
"id10801": "760",
|
| 2059 |
+
"id10802": "761",
|
| 2060 |
+
"id10803": "762",
|
| 2061 |
+
"id10804": "763",
|
| 2062 |
+
"id10805": "764",
|
| 2063 |
+
"id10806": "765",
|
| 2064 |
+
"id10807": "766",
|
| 2065 |
+
"id10808": "767",
|
| 2066 |
+
"id10809": "768",
|
| 2067 |
+
"id10810": "769",
|
| 2068 |
+
"id10811": "770",
|
| 2069 |
+
"id10812": "771",
|
| 2070 |
+
"id10813": "772",
|
| 2071 |
+
"id10814": "773",
|
| 2072 |
+
"id10815": "774",
|
| 2073 |
+
"id10816": "775",
|
| 2074 |
+
"id10817": "776",
|
| 2075 |
+
"id10818": "777",
|
| 2076 |
+
"id10819": "778",
|
| 2077 |
+
"id10820": "779",
|
| 2078 |
+
"id10821": "780",
|
| 2079 |
+
"id10822": "781",
|
| 2080 |
+
"id10823": "782",
|
| 2081 |
+
"id10824": "783",
|
| 2082 |
+
"id10825": "784",
|
| 2083 |
+
"id10826": "785",
|
| 2084 |
+
"id10827": "786",
|
| 2085 |
+
"id10828": "787",
|
| 2086 |
+
"id10829": "788",
|
| 2087 |
+
"id10830": "789",
|
| 2088 |
+
"id10831": "790",
|
| 2089 |
+
"id10832": "791",
|
| 2090 |
+
"id10833": "792",
|
| 2091 |
+
"id10834": "793",
|
| 2092 |
+
"id10835": "794",
|
| 2093 |
+
"id10836": "795",
|
| 2094 |
+
"id10837": "796",
|
| 2095 |
+
"id10838": "797",
|
| 2096 |
+
"id10839": "798",
|
| 2097 |
+
"id10840": "799",
|
| 2098 |
+
"id10841": "800",
|
| 2099 |
+
"id10842": "801",
|
| 2100 |
+
"id10843": "802",
|
| 2101 |
+
"id10844": "803",
|
| 2102 |
+
"id10845": "804",
|
| 2103 |
+
"id10846": "805",
|
| 2104 |
+
"id10847": "806",
|
| 2105 |
+
"id10848": "807",
|
| 2106 |
+
"id10849": "808",
|
| 2107 |
+
"id10850": "809",
|
| 2108 |
+
"id10851": "810",
|
| 2109 |
+
"id10852": "811",
|
| 2110 |
+
"id10853": "812",
|
| 2111 |
+
"id10854": "813",
|
| 2112 |
+
"id10855": "814",
|
| 2113 |
+
"id10856": "815",
|
| 2114 |
+
"id10857": "816",
|
| 2115 |
+
"id10858": "817",
|
| 2116 |
+
"id10859": "818",
|
| 2117 |
+
"id10860": "819",
|
| 2118 |
+
"id10861": "820",
|
| 2119 |
+
"id10862": "821",
|
| 2120 |
+
"id10863": "822",
|
| 2121 |
+
"id10864": "823",
|
| 2122 |
+
"id10865": "824",
|
| 2123 |
+
"id10866": "825",
|
| 2124 |
+
"id10867": "826",
|
| 2125 |
+
"id10868": "827",
|
| 2126 |
+
"id10869": "828",
|
| 2127 |
+
"id10870": "829",
|
| 2128 |
+
"id10871": "830",
|
| 2129 |
+
"id10872": "831",
|
| 2130 |
+
"id10873": "832",
|
| 2131 |
+
"id10874": "833",
|
| 2132 |
+
"id10875": "834",
|
| 2133 |
+
"id10876": "835",
|
| 2134 |
+
"id10877": "836",
|
| 2135 |
+
"id10878": "837",
|
| 2136 |
+
"id10879": "838",
|
| 2137 |
+
"id10880": "839",
|
| 2138 |
+
"id10881": "840",
|
| 2139 |
+
"id10882": "841",
|
| 2140 |
+
"id10883": "842",
|
| 2141 |
+
"id10884": "843",
|
| 2142 |
+
"id10885": "844",
|
| 2143 |
+
"id10886": "845",
|
| 2144 |
+
"id10887": "846",
|
| 2145 |
+
"id10888": "847",
|
| 2146 |
+
"id10889": "848",
|
| 2147 |
+
"id10890": "849",
|
| 2148 |
+
"id10891": "850",
|
| 2149 |
+
"id10892": "851",
|
| 2150 |
+
"id10893": "852",
|
| 2151 |
+
"id10894": "853",
|
| 2152 |
+
"id10895": "854",
|
| 2153 |
+
"id10896": "855",
|
| 2154 |
+
"id10897": "856",
|
| 2155 |
+
"id10898": "857",
|
| 2156 |
+
"id10899": "858",
|
| 2157 |
+
"id10900": "859",
|
| 2158 |
+
"id10901": "860",
|
| 2159 |
+
"id10902": "861",
|
| 2160 |
+
"id10903": "862",
|
| 2161 |
+
"id10904": "863",
|
| 2162 |
+
"id10905": "864",
|
| 2163 |
+
"id10906": "865",
|
| 2164 |
+
"id10907": "866",
|
| 2165 |
+
"id10908": "867",
|
| 2166 |
+
"id10909": "868",
|
| 2167 |
+
"id10910": "869",
|
| 2168 |
+
"id10911": "870",
|
| 2169 |
+
"id10912": "871",
|
| 2170 |
+
"id10913": "872",
|
| 2171 |
+
"id10914": "873",
|
| 2172 |
+
"id10915": "874",
|
| 2173 |
+
"id10916": "875",
|
| 2174 |
+
"id10917": "876",
|
| 2175 |
+
"id10918": "877",
|
| 2176 |
+
"id10919": "878",
|
| 2177 |
+
"id10920": "879",
|
| 2178 |
+
"id10921": "880",
|
| 2179 |
+
"id10922": "881",
|
| 2180 |
+
"id10923": "882",
|
| 2181 |
+
"id10924": "883",
|
| 2182 |
+
"id10925": "884",
|
| 2183 |
+
"id10926": "885",
|
| 2184 |
+
"id10927": "886",
|
| 2185 |
+
"id10928": "887",
|
| 2186 |
+
"id10929": "888",
|
| 2187 |
+
"id10930": "889",
|
| 2188 |
+
"id10931": "890",
|
| 2189 |
+
"id10932": "891",
|
| 2190 |
+
"id10933": "892",
|
| 2191 |
+
"id10934": "893",
|
| 2192 |
+
"id10935": "894",
|
| 2193 |
+
"id10936": "895",
|
| 2194 |
+
"id10937": "896",
|
| 2195 |
+
"id10938": "897",
|
| 2196 |
+
"id10939": "898",
|
| 2197 |
+
"id10940": "899",
|
| 2198 |
+
"id10941": "900",
|
| 2199 |
+
"id10942": "901",
|
| 2200 |
+
"id10943": "902",
|
| 2201 |
+
"id10944": "903",
|
| 2202 |
+
"id10945": "904",
|
| 2203 |
+
"id10946": "905",
|
| 2204 |
+
"id10947": "906",
|
| 2205 |
+
"id10948": "907",
|
| 2206 |
+
"id10949": "908",
|
| 2207 |
+
"id10950": "909",
|
| 2208 |
+
"id10951": "910",
|
| 2209 |
+
"id10952": "911",
|
| 2210 |
+
"id10953": "912",
|
| 2211 |
+
"id10954": "913",
|
| 2212 |
+
"id10955": "914",
|
| 2213 |
+
"id10956": "915",
|
| 2214 |
+
"id10957": "916",
|
| 2215 |
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"id10958": "917",
|
| 2216 |
+
"id10959": "918",
|
| 2217 |
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"id10960": "919",
|
| 2218 |
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"id10961": "920",
|
| 2219 |
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"id10962": "921",
|
| 2220 |
+
"id10963": "922",
|
| 2221 |
+
"id10964": "923",
|
| 2222 |
+
"id10965": "924",
|
| 2223 |
+
"id10966": "925",
|
| 2224 |
+
"id10967": "926",
|
| 2225 |
+
"id10968": "927",
|
| 2226 |
+
"id10969": "928",
|
| 2227 |
+
"id10970": "929",
|
| 2228 |
+
"id10971": "930",
|
| 2229 |
+
"id10972": "931",
|
| 2230 |
+
"id10973": "932",
|
| 2231 |
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|
| 2232 |
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"id10975": "934",
|
| 2233 |
+
"id10976": "935",
|
| 2234 |
+
"id10977": "936",
|
| 2235 |
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"id10978": "937",
|
| 2236 |
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|
| 2237 |
+
"id10980": "939",
|
| 2238 |
+
"id10981": "940",
|
| 2239 |
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| 2292 |
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| 2293 |
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| 2298 |
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| 2301 |
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| 2311 |
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| 2318 |
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| 2325 |
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| 2330 |
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| 2347 |
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| 2350 |
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| 2355 |
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| 2358 |
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| 2362 |
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| 2365 |
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| 2373 |
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| 2380 |
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| 2384 |
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| 2387 |
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| 2388 |
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| 2389 |
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| 2390 |
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| 2391 |
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| 2392 |
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| 2393 |
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|
| 2394 |
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|
| 2395 |
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|
| 2396 |
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|
| 2397 |
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|
| 2398 |
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|
| 2399 |
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|
| 2400 |
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|
| 2401 |
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|
| 2402 |
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|
| 2403 |
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|
| 2404 |
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|
| 2405 |
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| 2406 |
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| 2407 |
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|
| 2408 |
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| 2409 |
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| 2410 |
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| 2411 |
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| 2412 |
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| 2413 |
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| 2414 |
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| 2415 |
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| 2416 |
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|
| 2417 |
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|
| 2418 |
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| 2419 |
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|
| 2420 |
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| 2421 |
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| 2422 |
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| 2423 |
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| 2424 |
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| 2425 |
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| 2426 |
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| 2427 |
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| 2428 |
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| 2429 |
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| 2430 |
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|
| 2431 |
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| 2432 |
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|
| 2433 |
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|
| 2434 |
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| 2435 |
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| 2436 |
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|
| 2437 |
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|
| 2438 |
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| 2439 |
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|
| 2440 |
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|
| 2441 |
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|
| 2442 |
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|
| 2443 |
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|
| 2444 |
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|
| 2445 |
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|
| 2446 |
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| 2447 |
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|
| 2448 |
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|
| 2449 |
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|
| 2450 |
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|
| 2451 |
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|
| 2452 |
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|
| 2453 |
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|
| 2454 |
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| 2455 |
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| 2456 |
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|
| 2459 |
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|
| 2460 |
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|
| 2461 |
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| 2462 |
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| 2463 |
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|
| 2464 |
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|
| 2465 |
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|
| 2466 |
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|
| 2467 |
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| 2468 |
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| 2469 |
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|
| 2470 |
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|
| 2471 |
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|
| 2472 |
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|
| 2473 |
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|
| 2474 |
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|
| 2475 |
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|
| 2476 |
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|
| 2477 |
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|
| 2478 |
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|
| 2479 |
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|
| 2480 |
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|
| 2481 |
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|
| 2482 |
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|
| 2483 |
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|
| 2484 |
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|
| 2485 |
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|
| 2486 |
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|
| 2487 |
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|
| 2488 |
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|
| 2489 |
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|
| 2490 |
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|
| 2491 |
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|
| 2492 |
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|
| 2493 |
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|
| 2494 |
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|
| 2495 |
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|
| 2496 |
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|
| 2497 |
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"id11240": "1199",
|
| 2498 |
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"id11241": "1200",
|
| 2499 |
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"id11242": "1201",
|
| 2500 |
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"id11243": "1202",
|
| 2501 |
+
"id11244": "1203",
|
| 2502 |
+
"id11245": "1204",
|
| 2503 |
+
"id11246": "1205",
|
| 2504 |
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"id11247": "1206",
|
| 2505 |
+
"id11248": "1207",
|
| 2506 |
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"id11249": "1208",
|
| 2507 |
+
"id11250": "1209",
|
| 2508 |
+
"id11251": "1210"
|
| 2509 |
+
},
|
| 2510 |
+
"label_smoothing": 0.0,
|
| 2511 |
+
"log": true,
|
| 2512 |
+
"log_zero_guard_type": "add",
|
| 2513 |
+
"log_zero_guard_value": 5.960464477539063e-08,
|
| 2514 |
+
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|
| 2515 |
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|
| 2516 |
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|
| 2517 |
+
"mel_norm": "slaney",
|
| 2518 |
+
"mel_spectrogram_config": {
|
| 2519 |
+
"dither": 1e-05,
|
| 2520 |
+
"exact_pad": false,
|
| 2521 |
+
"features": 80,
|
| 2522 |
+
"frame_splicing": 1,
|
| 2523 |
+
"highfreq": null,
|
| 2524 |
+
"log": true,
|
| 2525 |
+
"log_zero_guard_type": "add",
|
| 2526 |
+
"log_zero_guard_value": 5.960464477539063e-08,
|
| 2527 |
+
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|
| 2528 |
+
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|
| 2529 |
+
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|
| 2530 |
+
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|
| 2531 |
+
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|
| 2532 |
+
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|
| 2533 |
+
"nb_augmentation_prob": 0,
|
| 2534 |
+
"nb_max_freq": 4000,
|
| 2535 |
+
"normalize": "per_feature",
|
| 2536 |
+
"pad_to": 16,
|
| 2537 |
+
"pad_value": 0,
|
| 2538 |
+
"preemph": 0.97,
|
| 2539 |
+
"rng": null,
|
| 2540 |
+
"sample_rate": 16000,
|
| 2541 |
+
"use_torchaudio": true,
|
| 2542 |
+
"window": "hann",
|
| 2543 |
+
"window_size": 0.025,
|
| 2544 |
+
"window_stride": 0.01
|
| 2545 |
+
},
|
| 2546 |
+
"n_fft": 512,
|
| 2547 |
+
"n_window_size": null,
|
| 2548 |
+
"n_window_stride": null,
|
| 2549 |
+
"nb_augmentation_prob": 0,
|
| 2550 |
+
"nb_max_freq": 4000,
|
| 2551 |
+
"normalize": "per_feature",
|
| 2552 |
+
"objective": "additive_angular_margin",
|
| 2553 |
+
"objective_config": {
|
| 2554 |
+
"margin": 0.2,
|
| 2555 |
+
"scale": 30
|
| 2556 |
+
},
|
| 2557 |
+
"pad_to": 16,
|
| 2558 |
+
"pad_token_id": 0,
|
| 2559 |
+
"pad_value": 0,
|
| 2560 |
+
"pool_mode": "attention",
|
| 2561 |
+
"preemph": 0.97,
|
| 2562 |
+
"rect_freq": 20,
|
| 2563 |
+
"rect_masks": 0,
|
| 2564 |
+
"rect_time": 5,
|
| 2565 |
+
"res2net": false,
|
| 2566 |
+
"res2net_scale": 8,
|
| 2567 |
+
"rng": null,
|
| 2568 |
+
"sample_rate": 16000,
|
| 2569 |
+
"scale": 8,
|
| 2570 |
+
"spectrogram_augmentation_config": {
|
| 2571 |
+
"freq_masks": 3,
|
| 2572 |
+
"freq_width": 4,
|
| 2573 |
+
"mask_value": 0,
|
| 2574 |
+
"rect_freq": 20,
|
| 2575 |
+
"rect_masks": 0,
|
| 2576 |
+
"rect_time": 5,
|
| 2577 |
+
"time_masks": 5,
|
| 2578 |
+
"time_width": 0.03,
|
| 2579 |
+
"use_vectorized_spec_augment": true
|
| 2580 |
+
},
|
| 2581 |
+
"time_masks": 5,
|
| 2582 |
+
"time_width": 0.03,
|
| 2583 |
+
"torch_dtype": "float32",
|
| 2584 |
+
"transformers_version": "4.48.3",
|
| 2585 |
+
"use_torchaudio": true,
|
| 2586 |
+
"use_vectorized_spec_augment": true,
|
| 2587 |
+
"window": "hann",
|
| 2588 |
+
"window_size": 0.025,
|
| 2589 |
+
"window_stride": 0.01
|
| 2590 |
+
}
|
models/ecapa-tdnn-voxceleb1-c512-aam/configuration_ecapa_tdnn.py
ADDED
|
@@ -0,0 +1,196 @@
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|
|
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|
|
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|
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|
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|
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|
| 1 |
+
from typing import Any, Union
|
| 2 |
+
|
| 3 |
+
from transformers.configuration_utils import PretrainedConfig
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
class EcapaTdnnConfig(PretrainedConfig):
|
| 7 |
+
|
| 8 |
+
def __init__(
|
| 9 |
+
self,
|
| 10 |
+
sample_rate: int = 16000,
|
| 11 |
+
window_size: float = 0.02,
|
| 12 |
+
window_stride: float = 0.01,
|
| 13 |
+
n_window_size: Any = None,
|
| 14 |
+
n_window_stride: Any = None,
|
| 15 |
+
window: str = "hann",
|
| 16 |
+
normalize: str = "per_feature",
|
| 17 |
+
n_fft: Any = None,
|
| 18 |
+
preemph: float = 0.97,
|
| 19 |
+
features: int = 64,
|
| 20 |
+
lowfreq: int = 0,
|
| 21 |
+
highfreq: Any = None,
|
| 22 |
+
log: bool = True,
|
| 23 |
+
log_zero_guard_type: str = "add",
|
| 24 |
+
log_zero_guard_value: Any = 2 ** -24,
|
| 25 |
+
dither: float = 0.00001,
|
| 26 |
+
pad_to: int = 16,
|
| 27 |
+
frame_splicing: int = 1,
|
| 28 |
+
exact_pad: bool = False,
|
| 29 |
+
pad_value: int = 0,
|
| 30 |
+
mag_power: float = 2,
|
| 31 |
+
rng: Any = None,
|
| 32 |
+
nb_augmentation_prob: float = 0,
|
| 33 |
+
nb_max_freq: int = 4000,
|
| 34 |
+
use_torchaudio: bool = False,
|
| 35 |
+
mel_norm: str = "slaney",
|
| 36 |
+
freq_masks: int = 0,
|
| 37 |
+
time_masks: int = 0,
|
| 38 |
+
freq_width: int = 10,
|
| 39 |
+
time_width: int = 10,
|
| 40 |
+
rect_masks: int = 0,
|
| 41 |
+
rect_time: int = 5,
|
| 42 |
+
rect_freq: int = 20,
|
| 43 |
+
mask_value: float = 0,
|
| 44 |
+
use_vectorized_spec_augment: bool = True,
|
| 45 |
+
filters: list = [512, 512, 512, 512, 1500],
|
| 46 |
+
kernel_sizes: list = [5, 3, 3, 1, 1],
|
| 47 |
+
dilations: list = [1, 2, 3, 1, 1],
|
| 48 |
+
scale: int = 8,
|
| 49 |
+
res2net: bool = False,
|
| 50 |
+
res2net_scale: int = 8,
|
| 51 |
+
init_mode: str = 'xavier_uniform',
|
| 52 |
+
emb_sizes: Union[int, list] = 256,
|
| 53 |
+
pool_mode: str = 'xvector',
|
| 54 |
+
angular: bool = False,
|
| 55 |
+
attention_channels: int = 128,
|
| 56 |
+
objective: str = 'additive_angular_margin', # additive_margin, additive_angular_margin, cross_entropy
|
| 57 |
+
angular_scale = 30,
|
| 58 |
+
angular_margin: float = 0.2,
|
| 59 |
+
label_smoothing: float = 0.0,
|
| 60 |
+
initializer_range=0.02,
|
| 61 |
+
pad_token_id=0,
|
| 62 |
+
bos_token_id=1,
|
| 63 |
+
eos_token_id=2,
|
| 64 |
+
**kwargs,
|
| 65 |
+
):
|
| 66 |
+
super().__init__(**kwargs, pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id)
|
| 67 |
+
|
| 68 |
+
self.initializer_range = initializer_range
|
| 69 |
+
|
| 70 |
+
# Mel-spectrogram configuration
|
| 71 |
+
self.sample_rate = sample_rate
|
| 72 |
+
self.window_size = window_size
|
| 73 |
+
self.window_stride = window_stride
|
| 74 |
+
self.n_window_size = n_window_size
|
| 75 |
+
self.n_window_stride = n_window_stride
|
| 76 |
+
self.window = window
|
| 77 |
+
self.normalize = normalize
|
| 78 |
+
self.n_fft = n_fft
|
| 79 |
+
self.preemph = preemph
|
| 80 |
+
self.features = features
|
| 81 |
+
self.lowfreq = lowfreq
|
| 82 |
+
self.highfreq = highfreq
|
| 83 |
+
self.log = log
|
| 84 |
+
self.log_zero_guard_type = log_zero_guard_type
|
| 85 |
+
self.log_zero_guard_value = log_zero_guard_value
|
| 86 |
+
self.dither = dither
|
| 87 |
+
self.pad_to = pad_to
|
| 88 |
+
self.frame_splicing = frame_splicing
|
| 89 |
+
self.exact_pad = exact_pad
|
| 90 |
+
self.pad_value = pad_value
|
| 91 |
+
self.mag_power = mag_power
|
| 92 |
+
self.rng = rng
|
| 93 |
+
self.nb_augmentation_prob = nb_augmentation_prob
|
| 94 |
+
self.nb_max_freq = nb_max_freq
|
| 95 |
+
self.use_torchaudio = use_torchaudio
|
| 96 |
+
self.mel_norm = mel_norm
|
| 97 |
+
self.mel_spectrogram_config = {
|
| 98 |
+
"sample_rate": sample_rate,
|
| 99 |
+
"window_size": window_size,
|
| 100 |
+
"window_stride": window_stride,
|
| 101 |
+
"n_window_size": n_window_size,
|
| 102 |
+
"n_window_stride": n_window_stride,
|
| 103 |
+
"window": window,
|
| 104 |
+
"normalize": normalize,
|
| 105 |
+
"n_fft": n_fft,
|
| 106 |
+
"preemph": preemph,
|
| 107 |
+
"features": features,
|
| 108 |
+
"lowfreq": lowfreq,
|
| 109 |
+
"highfreq": highfreq,
|
| 110 |
+
"log": log,
|
| 111 |
+
"log_zero_guard_type": log_zero_guard_type,
|
| 112 |
+
"log_zero_guard_value": log_zero_guard_value,
|
| 113 |
+
"dither": dither,
|
| 114 |
+
"pad_to": pad_to,
|
| 115 |
+
"frame_splicing": frame_splicing,
|
| 116 |
+
"exact_pad": exact_pad,
|
| 117 |
+
"pad_value": pad_value,
|
| 118 |
+
"mag_power": mag_power,
|
| 119 |
+
"rng": rng,
|
| 120 |
+
"nb_augmentation_prob": nb_augmentation_prob,
|
| 121 |
+
"nb_max_freq": nb_max_freq,
|
| 122 |
+
"use_torchaudio": use_torchaudio,
|
| 123 |
+
"mel_norm": mel_norm,
|
| 124 |
+
}
|
| 125 |
+
|
| 126 |
+
# Spectrogram Augmentation configuration
|
| 127 |
+
self.freq_masks = freq_masks
|
| 128 |
+
self.time_masks = time_masks
|
| 129 |
+
self.freq_width = freq_width
|
| 130 |
+
self.time_width = time_width
|
| 131 |
+
self.rect_masks = rect_masks
|
| 132 |
+
self.rect_time = rect_time
|
| 133 |
+
self.rect_freq = rect_freq
|
| 134 |
+
self.mask_value = mask_value
|
| 135 |
+
self.use_vectorized_spec_augment = use_vectorized_spec_augment
|
| 136 |
+
self.spectrogram_augmentation_config = {
|
| 137 |
+
"freq_masks": freq_masks,
|
| 138 |
+
"time_masks": time_masks,
|
| 139 |
+
"freq_width": freq_width,
|
| 140 |
+
"time_width": time_width,
|
| 141 |
+
"rect_masks": rect_masks,
|
| 142 |
+
"rect_time": rect_time,
|
| 143 |
+
"rect_freq": rect_freq,
|
| 144 |
+
"mask_value": mask_value,
|
| 145 |
+
"use_vectorized_spec_augment": use_vectorized_spec_augment,
|
| 146 |
+
}
|
| 147 |
+
|
| 148 |
+
# Encoder configuration
|
| 149 |
+
self.feat_in = features
|
| 150 |
+
self.filters = filters
|
| 151 |
+
self.kernel_sizes = kernel_sizes
|
| 152 |
+
self.dilations = dilations
|
| 153 |
+
self.scale = scale
|
| 154 |
+
self.res2net = res2net
|
| 155 |
+
self.res2net_scale = res2net_scale
|
| 156 |
+
self.init_mode = init_mode
|
| 157 |
+
self.encoder_config = {
|
| 158 |
+
"feat_in": self.features,
|
| 159 |
+
"filters": self.filters,
|
| 160 |
+
"kernel_sizes": self.kernel_sizes,
|
| 161 |
+
"dilations": self.dilations,
|
| 162 |
+
"scale": self.scale,
|
| 163 |
+
"res2net": self.res2net,
|
| 164 |
+
"res2net_scale": self.res2net_scale,
|
| 165 |
+
"init_mode": self.init_mode,
|
| 166 |
+
}
|
| 167 |
+
|
| 168 |
+
# Decoder configuration
|
| 169 |
+
self.emb_sizes = emb_sizes
|
| 170 |
+
self.pool_mode = pool_mode
|
| 171 |
+
self.angular = True if objective in ['additive_angular_margin', 'additive_margin'] else False
|
| 172 |
+
self.attention_channels = attention_channels
|
| 173 |
+
self.decoder_config = {
|
| 174 |
+
"feat_in": filters[-1],
|
| 175 |
+
"num_classes": self.num_labels,
|
| 176 |
+
"emb_sizes": emb_sizes,
|
| 177 |
+
"pool_mode": pool_mode,
|
| 178 |
+
"angular": angular,
|
| 179 |
+
"attention_channels": attention_channels,
|
| 180 |
+
"init_mode": init_mode,
|
| 181 |
+
}
|
| 182 |
+
|
| 183 |
+
# Loss function configuration
|
| 184 |
+
self.objective = objective
|
| 185 |
+
self.angular_scale = angular_scale
|
| 186 |
+
self.angular_margin = angular_margin
|
| 187 |
+
self.label_smoothing = label_smoothing
|
| 188 |
+
if objective in ['additive_angular_margin', 'additive_margin']:
|
| 189 |
+
self.objective_config = {
|
| 190 |
+
"scale": angular_scale,
|
| 191 |
+
"margin": angular_margin,
|
| 192 |
+
}
|
| 193 |
+
elif objective == 'cross_entropy':
|
| 194 |
+
self.objective_config = {
|
| 195 |
+
"label_smoothing": label_smoothing,
|
| 196 |
+
}
|