|
--- |
|
tags: |
|
- espnet |
|
- audio |
|
- speaker-recognition |
|
language: multilingual |
|
datasets: |
|
- voxceleb |
|
license: cc-by-4.0 |
|
--- |
|
|
|
## ESPnet2 SPK model |
|
|
|
### `espnet/voxcelebs12_ska_wavlm_joint` |
|
|
|
This model was trained by Jungjee using voxceleb recipe in [espnet](https://github.com/espnet/espnet/). |
|
|
|
### Demo: How to use in ESPnet2 |
|
|
|
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html) |
|
if you haven't done that already. |
|
|
|
```bash |
|
cd espnet |
|
git checkout 7f74ef2807eb9d800491c805f455d5c62a195c53 |
|
pip install -e . |
|
cd egs2/voxceleb/spk1 |
|
./run.sh --skip_data_prep false --skip_train true --download_model espnet/voxcelebs12_ska_wavlm_joint |
|
``` |
|
|
|
<!-- Generated by scripts/utils/show_spk_result.py --> |
|
# RESULTS |
|
## Environments |
|
date: 2024-01-08 21:12:03.149830 |
|
|
|
- python version: 3.9.16 (main, Mar 8 2023, 14:00:05) [GCC 11.2.0] |
|
- espnet version: 202310 |
|
- pytorch version: 1.13.1 |
|
|
|
| | Mean | Std | |
|
|---|---|---| |
|
| Target | -0.7420 | 0.1281 | |
|
| Non-target | 0.0822 | 0.0822 | |
|
|
|
| Model name | EER(%) | minDCF | |
|
|---|---|---| |
|
| conf/tuning/train_ska_Vox12_emb192_torchmelspec_subcentertopk_wavlm_jt | 0.516 | 0.05583 | |
|
|
|
## SPK config |
|
|
|
<details><summary>expand</summary> |
|
|
|
``` |
|
config: conf/tuning/train_ska_Vox12_emb192_torchmelspec_subcentertopk_wavlm_jt.yaml |
|
print_config: false |
|
log_level: INFO |
|
drop_last_iter: true |
|
dry_run: false |
|
iterator_type: category |
|
valid_iterator_type: sequence |
|
output_dir: exp/spk_train_ska_Vox12_emb192_torchmelspec_subcentertopk_wavlm_jt_raw_sp |
|
ngpu: 1 |
|
seed: 0 |
|
num_workers: 8 |
|
num_att_plot: 0 |
|
dist_backend: nccl |
|
dist_init_method: env:// |
|
dist_world_size: 4 |
|
dist_rank: 0 |
|
local_rank: 0 |
|
dist_master_addr: localhost |
|
dist_master_port: 52613 |
|
dist_launcher: null |
|
multiprocessing_distributed: true |
|
unused_parameters: true |
|
sharded_ddp: false |
|
cudnn_enabled: true |
|
cudnn_benchmark: true |
|
cudnn_deterministic: false |
|
collect_stats: false |
|
write_collected_feats: false |
|
max_epoch: 20 |
|
patience: null |
|
val_scheduler_criterion: |
|
- valid |
|
- loss |
|
early_stopping_criterion: |
|
- valid |
|
- loss |
|
- min |
|
best_model_criterion: |
|
- - valid |
|
- eer |
|
- min |
|
keep_nbest_models: 2 |
|
nbest_averaging_interval: 0 |
|
grad_clip: 9999 |
|
grad_clip_type: 2.0 |
|
grad_noise: false |
|
accum_grad: 64 |
|
no_forward_run: false |
|
resume: true |
|
train_dtype: float32 |
|
use_amp: true |
|
log_interval: 100 |
|
use_matplotlib: true |
|
use_tensorboard: true |
|
create_graph_in_tensorboard: false |
|
use_wandb: false |
|
wandb_project: null |
|
wandb_id: null |
|
wandb_entity: null |
|
wandb_name: null |
|
wandb_model_log_interval: -1 |
|
detect_anomaly: false |
|
use_lora: false |
|
save_lora_only: true |
|
lora_conf: {} |
|
pretrain_path: null |
|
init_param: |
|
- exp/spk_train_ska_Vox12_emb192_torchmelspec_subcentertopk_wavlm_nodownsample_raw_sp/valid.eer.best.pth |
|
ignore_init_mismatch: false |
|
freeze_param: [] |
|
num_iters_per_epoch: 32000 |
|
batch_size: 16 |
|
valid_batch_size: 5 |
|
batch_bins: 1000000 |
|
valid_batch_bins: null |
|
train_shape_file: |
|
- exp/spk_stats_16k_sp/train/speech_shape |
|
valid_shape_file: |
|
- exp/spk_stats_16k_sp/valid/speech_shape |
|
batch_type: folded |
|
valid_batch_type: null |
|
fold_length: |
|
- 120000 |
|
sort_in_batch: descending |
|
shuffle_within_batch: false |
|
sort_batch: descending |
|
multiple_iterator: false |
|
chunk_length: 500 |
|
chunk_shift_ratio: 0.5 |
|
num_cache_chunks: 1024 |
|
chunk_excluded_key_prefixes: [] |
|
chunk_default_fs: null |
|
train_data_path_and_name_and_type: |
|
- - dump/raw/voxceleb12_devs_sp/wav.scp |
|
- speech |
|
- sound |
|
- - dump/raw/voxceleb12_devs_sp/utt2spk |
|
- spk_labels |
|
- text |
|
valid_data_path_and_name_and_type: |
|
- - dump/raw/voxceleb1_test/trial.scp |
|
- speech |
|
- sound |
|
- - dump/raw/voxceleb1_test/trial2.scp |
|
- speech2 |
|
- sound |
|
- - dump/raw/voxceleb1_test/trial_label |
|
- spk_labels |
|
- text |
|
allow_variable_data_keys: false |
|
max_cache_size: 0.0 |
|
max_cache_fd: 32 |
|
allow_multi_rates: false |
|
valid_max_cache_size: null |
|
exclude_weight_decay: false |
|
exclude_weight_decay_conf: {} |
|
optim: adam |
|
optim_conf: |
|
lr: 0.0001 |
|
weight_decay: 1.0e-05 |
|
amsgrad: false |
|
scheduler: cosineannealingwarmuprestarts |
|
scheduler_conf: |
|
first_cycle_steps: 10000 |
|
cycle_mult: 1.0 |
|
max_lr: 5.0e-05 |
|
min_lr: 5.0e-06 |
|
warmup_steps: 1000 |
|
gamma: 0.75 |
|
init: null |
|
use_preprocessor: true |
|
input_size: null |
|
target_duration: 3.0 |
|
spk2utt: dump/raw/voxceleb12_devs_sp/spk2utt |
|
spk_num: 21615 |
|
sample_rate: 16000 |
|
num_eval: 10 |
|
rir_scp: '' |
|
model_conf: |
|
extract_feats_in_collect_stats: false |
|
frontend: s3prl |
|
frontend_conf: |
|
frontend_conf: |
|
upstream: wavlm_large |
|
download_dir: ./hub |
|
multilayer_feature: true |
|
specaug: null |
|
specaug_conf: {} |
|
normalize: utterance_mvn |
|
normalize_conf: |
|
norm_vars: false |
|
encoder: ska_tdnn |
|
encoder_conf: |
|
model_scale: 8 |
|
ndim: 1024 |
|
ska_dim: 128 |
|
output_size: 1536 |
|
pooling: chn_attn_stat |
|
pooling_conf: {} |
|
projector: ska_tdnn |
|
projector_conf: |
|
output_size: 192 |
|
preprocessor: spk |
|
preprocessor_conf: |
|
target_duration: 6.0 |
|
sample_rate: 16000 |
|
num_eval: 3 |
|
noise_apply_prob: 0.0 |
|
noise_info: |
|
- - 1.0 |
|
- dump/raw/musan_speech.scp |
|
- - 4 |
|
- 7 |
|
- - 13 |
|
- 20 |
|
- - 1.0 |
|
- dump/raw/musan_noise.scp |
|
- - 1 |
|
- 1 |
|
- - 0 |
|
- 15 |
|
- - 1.0 |
|
- dump/raw/musan_music.scp |
|
- - 1 |
|
- 1 |
|
- - 5 |
|
- 15 |
|
rir_apply_prob: 0.0 |
|
rir_scp: dump/raw/rirs.scp |
|
loss: aamsoftmax_sc_topk |
|
loss_conf: |
|
margin: 0.5 |
|
scale: 30 |
|
K: 3 |
|
mp: 0.06 |
|
k_top: 5 |
|
required: |
|
- output_dir |
|
version: '202310' |
|
distributed: true |
|
``` |
|
|
|
</details> |
|
|
|
|
|
|
|
### Citing ESPnet |
|
|
|
```BibTex |
|
@inproceedings{watanabe2018espnet, |
|
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}, |
|
title={{ESPnet}: End-to-End Speech Processing Toolkit}, |
|
year={2018}, |
|
booktitle={Proceedings of Interspeech}, |
|
pages={2207--2211}, |
|
doi={10.21437/Interspeech.2018-1456}, |
|
url={http://dx.doi.org/10.21437/Interspeech.2018-1456} |
|
} |
|
|
|
|
|
|
|
|
|
|
|
|
|
``` |
|
|
|
or arXiv: |
|
|
|
```bibtex |
|
@misc{watanabe2018espnet, |
|
title={ESPnet: End-to-End Speech Processing Toolkit}, |
|
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}, |
|
year={2018}, |
|
eprint={1804.00015}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
|
|