Update model
Browse files- README.md +289 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/30epoch.pth +3 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/RESULTS.md +17 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/config.yaml +198 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/backward_time.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/clip.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/eer.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/forward_time.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/gpu_max_cached_mem_GB.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/grad_norm.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/iter_time.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/loss.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/loss_scale.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/mindcf.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/n_trials.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/nontrg_mean.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/nontrg_std.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/optim0_lr0.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/optim_step_time.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/train_time.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/trg_mean.png +0 -0
- exp/spk_train_rawnet3_vbClean_raw_sp/images/trg_std.png +0 -0
- meta.yaml +8 -0
README.md
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+
---
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tags:
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- espnet
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- audio
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- speaker-recognition
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language: multilingual
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datasets:
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- voxblink
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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/voxblinkclean_rawnet3`
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This model was trained by Jungjee using voxblink 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 6a0be4d44b892a683c2d617039c7f23e824a9296
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pip install -e .
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cd egs2/voxblink/spk1
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/voxblinkclean_rawnet3
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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: 2024-01-03 18:56:30.429852
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|
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- python version: 3.9.16 (main, May 15 2023, 23:46:34) [GCC 11.2.0]
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- espnet version: 202310
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- pytorch version: 1.13.1
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| | Mean | Std |
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|---|---|---|
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| Target | 5.2187 | 4.6926 |
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| Non-target | 2.5139 | 2.5139 |
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| Model name | EER(%) | minDCF |
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|---|---|---|
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| conf/tuning/train_rawnet3_vbClean | 2.516 | 0.18585 |
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## SPK config
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|
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<details><summary>expand</summary>
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```
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config: conf/tuning/train_rawnet3_vbClean.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
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iterator_type: category
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valid_iterator_type: sequence
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output_dir: exp/spk_train_rawnet3_vbClean_raw_sp
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ngpu: 1
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seed: 0
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num_workers: 6
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num_att_plot: 0
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: 4
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dist_rank: 0
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local_rank: 0
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dist_master_addr: localhost
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dist_master_port: 52559
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dist_launcher: null
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multiprocessing_distributed: true
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unused_parameters: false
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sharded_ddp: false
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cudnn_enabled: true
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cudnn_benchmark: true
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cudnn_deterministic: false
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collect_stats: false
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write_collected_feats: false
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max_epoch: 40
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patience: null
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val_scheduler_criterion:
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- valid
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- loss
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early_stopping_criterion:
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- valid
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- loss
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- min
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best_model_criterion:
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- - valid
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- eer
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- min
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keep_nbest_models: 3
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nbest_averaging_interval: 0
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grad_clip: 9999
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grad_clip_type: 2.0
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grad_noise: false
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accum_grad: 1
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no_forward_run: false
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resume: true
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train_dtype: float32
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use_amp: true
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log_interval: 100
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use_matplotlib: true
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use_tensorboard: true
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create_graph_in_tensorboard: false
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use_wandb: false
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wandb_project: null
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wandb_id: null
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wandb_entity: null
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wandb_name: null
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wandb_model_log_interval: -1
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detect_anomaly: false
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use_lora: false
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save_lora_only: true
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lora_conf: {}
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pretrain_path: null
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init_param: []
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ignore_init_mismatch: false
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freeze_param: []
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num_iters_per_epoch: null
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batch_size: 512
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valid_batch_size: 40
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batch_bins: 1000000
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valid_batch_bins: null
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train_shape_file:
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- exp/spk_stats_16k_sp/train/speech_shape
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valid_shape_file:
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- exp/spk_stats_16k_sp/valid/speech_shape
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batch_type: folded
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valid_batch_type: null
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fold_length:
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- 120000
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sort_in_batch: descending
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shuffle_within_batch: false
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sort_batch: descending
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multiple_iterator: false
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chunk_length: 500
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chunk_shift_ratio: 0.5
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num_cache_chunks: 1024
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chunk_excluded_key_prefixes: []
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chunk_default_fs: null
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train_data_path_and_name_and_type:
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- - dump/raw/voxblink_clean_sp/wav.scp
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- speech
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- sound
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- - dump/raw/voxblink_clean_sp/utt2spk
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- spk_labels
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- text
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valid_data_path_and_name_and_type:
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+
- - dump/raw/voxceleb1_test/trial.scp
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- speech
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- sound
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- - dump/raw/voxceleb1_test/trial2.scp
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- speech2
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- sound
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- - dump/raw/voxceleb1_test/trial_label
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- spk_labels
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- text
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allow_variable_data_keys: false
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+
max_cache_size: 0.0
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+
max_cache_fd: 32
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+
allow_multi_rates: false
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+
valid_max_cache_size: null
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+
exclude_weight_decay: false
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+
exclude_weight_decay_conf: {}
|
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+
optim: adam
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+
optim_conf:
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+
lr: 0.001
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+
weight_decay: 5.0e-05
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+
amsgrad: false
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+
scheduler: cosineannealingwarmuprestarts
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+
scheduler_conf:
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+
first_cycle_steps: 59480
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+
cycle_mult: 1.0
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+
max_lr: 0.001
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+
min_lr: 5.0e-06
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+
warmup_steps: 1000
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+
gamma: 0.75
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+
init: null
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+
use_preprocessor: true
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+
input_size: null
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+
target_duration: 3.0
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+
spk2utt: dump/raw/voxblink_clean_sp/spk2utt
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+
spk_num: 55143
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+
sample_rate: 16000
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+
num_eval: 10
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+
rir_scp: ''
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+
model_conf:
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+
extract_feats_in_collect_stats: false
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+
frontend: asteroid_frontend
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frontend_conf:
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+
sinc_stride: 16
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+
sinc_kernel_size: 251
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sinc_filters: 256
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preemph_coef: 0.97
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log_term: 1.0e-06
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specaug: null
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specaug_conf: {}
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normalize: null
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normalize_conf: {}
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encoder: rawnet3
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encoder_conf:
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+
model_scale: 8
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+
ndim: 1024
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+
output_size: 1536
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+
pooling: chn_attn_stat
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pooling_conf: {}
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projector: rawnet3
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projector_conf:
|
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+
output_size: 192
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preprocessor: spk
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+
preprocessor_conf:
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+
target_duration: 3.0
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+
sample_rate: 16000
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num_eval: 5
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noise_apply_prob: 0.5
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noise_info:
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- - 1.0
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- dump/raw/musan_speech.scp
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- - 4
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- 7
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- - 13
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- 20
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- - 1.0
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- dump/raw/musan_noise.scp
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- - 1
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- 1
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- - 0
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- 15
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- - 1.0
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- dump/raw/musan_music.scp
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- - 1
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- 1
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- - 5
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- 15
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rir_apply_prob: 0.5
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rir_scp: dump/raw/rirs.scp
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loss: aamsoftmax_sc_topk
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loss_conf:
|
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margin: 0.3
|
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+
scale: 30
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+
K: 3
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+
mp: 0.06
|
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k_top: 5
|
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required:
|
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- output_dir
|
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version: '202310'
|
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distributed: true
|
252 |
+
```
|
253 |
+
|
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+
</details>
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|
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+
|
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+
|
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### Citing ESPnet
|
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+
|
260 |
+
```BibTex
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+
@inproceedings{watanabe2018espnet,
|
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+
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},
|
263 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
264 |
+
year={2018},
|
265 |
+
booktitle={Proceedings of Interspeech},
|
266 |
+
pages={2207--2211},
|
267 |
+
doi={10.21437/Interspeech.2018-1456},
|
268 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
269 |
+
}
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+
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+
|
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+
|
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+
|
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```
|
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+
|
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+
or arXiv:
|
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+
|
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```bibtex
|
281 |
+
@misc{watanabe2018espnet,
|
282 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
283 |
+
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},
|
284 |
+
year={2018},
|
285 |
+
eprint={1804.00015},
|
286 |
+
archivePrefix={arXiv},
|
287 |
+
primaryClass={cs.CL}
|
288 |
+
}
|
289 |
+
```
|
exp/spk_train_rawnet3_vbClean_raw_sp/30epoch.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:74c2812bb6bfce28d1313d5822668b912ba070d3647cb180c6bca3f5b85c7db0
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size 191551679
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exp/spk_train_rawnet3_vbClean_raw_sp/RESULTS.md
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1 |
+
<!-- Generated by scripts/utils/show_spk_result.py -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
date: 2024-01-03 18:56:30.429852
|
5 |
+
|
6 |
+
- python version: 3.9.16 (main, May 15 2023, 23:46:34) [GCC 11.2.0]
|
7 |
+
- espnet version: 202310
|
8 |
+
- pytorch version: 1.13.1
|
9 |
+
|
10 |
+
| | Mean | Std |
|
11 |
+
|---|---|---|
|
12 |
+
| Target | 5.2187 | 4.6926 |
|
13 |
+
| Non-target | 2.5139 | 2.5139 |
|
14 |
+
|
15 |
+
| Model name | EER(%) | minDCF |
|
16 |
+
|---|---|---|
|
17 |
+
| conf/tuning/train_rawnet3_vbClean | 2.516 | 0.18585 |
|
exp/spk_train_rawnet3_vbClean_raw_sp/config.yaml
ADDED
@@ -0,0 +1,198 @@
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|
1 |
+
config: conf/tuning/train_rawnet3_vbClean.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_rawnet3_vbClean_raw_sp
|
9 |
+
ngpu: 1
|
10 |
+
seed: 0
|
11 |
+
num_workers: 6
|
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: 52559
|
20 |
+
dist_launcher: null
|
21 |
+
multiprocessing_distributed: true
|
22 |
+
unused_parameters: false
|
23 |
+
sharded_ddp: false
|
24 |
+
cudnn_enabled: true
|
25 |
+
cudnn_benchmark: true
|
26 |
+
cudnn_deterministic: false
|
27 |
+
collect_stats: false
|
28 |
+
write_collected_feats: false
|
29 |
+
max_epoch: 40
|
30 |
+
patience: null
|
31 |
+
val_scheduler_criterion:
|
32 |
+
- valid
|
33 |
+
- loss
|
34 |
+
early_stopping_criterion:
|
35 |
+
- valid
|
36 |
+
- loss
|
37 |
+
- min
|
38 |
+
best_model_criterion:
|
39 |
+
- - valid
|
40 |
+
- eer
|
41 |
+
- min
|
42 |
+
keep_nbest_models: 3
|
43 |
+
nbest_averaging_interval: 0
|
44 |
+
grad_clip: 9999
|
45 |
+
grad_clip_type: 2.0
|
46 |
+
grad_noise: false
|
47 |
+
accum_grad: 1
|
48 |
+
no_forward_run: false
|
49 |
+
resume: true
|
50 |
+
train_dtype: float32
|
51 |
+
use_amp: true
|
52 |
+
log_interval: 100
|
53 |
+
use_matplotlib: true
|
54 |
+
use_tensorboard: true
|
55 |
+
create_graph_in_tensorboard: false
|
56 |
+
use_wandb: false
|
57 |
+
wandb_project: null
|
58 |
+
wandb_id: null
|
59 |
+
wandb_entity: null
|
60 |
+
wandb_name: null
|
61 |
+
wandb_model_log_interval: -1
|
62 |
+
detect_anomaly: false
|
63 |
+
use_lora: false
|
64 |
+
save_lora_only: true
|
65 |
+
lora_conf: {}
|
66 |
+
pretrain_path: null
|
67 |
+
init_param: []
|
68 |
+
ignore_init_mismatch: false
|
69 |
+
freeze_param: []
|
70 |
+
num_iters_per_epoch: null
|
71 |
+
batch_size: 512
|
72 |
+
valid_batch_size: 40
|
73 |
+
batch_bins: 1000000
|
74 |
+
valid_batch_bins: null
|
75 |
+
train_shape_file:
|
76 |
+
- exp/spk_stats_16k_sp/train/speech_shape
|
77 |
+
valid_shape_file:
|
78 |
+
- exp/spk_stats_16k_sp/valid/speech_shape
|
79 |
+
batch_type: folded
|
80 |
+
valid_batch_type: null
|
81 |
+
fold_length:
|
82 |
+
- 120000
|
83 |
+
sort_in_batch: descending
|
84 |
+
shuffle_within_batch: false
|
85 |
+
sort_batch: descending
|
86 |
+
multiple_iterator: false
|
87 |
+
chunk_length: 500
|
88 |
+
chunk_shift_ratio: 0.5
|
89 |
+
num_cache_chunks: 1024
|
90 |
+
chunk_excluded_key_prefixes: []
|
91 |
+
chunk_default_fs: null
|
92 |
+
train_data_path_and_name_and_type:
|
93 |
+
- - dump/raw/voxblink_clean_sp/wav.scp
|
94 |
+
- speech
|
95 |
+
- sound
|
96 |
+
- - dump/raw/voxblink_clean_sp/utt2spk
|
97 |
+
- spk_labels
|
98 |
+
- text
|
99 |
+
valid_data_path_and_name_and_type:
|
100 |
+
- - dump/raw/voxceleb1_test/trial.scp
|
101 |
+
- speech
|
102 |
+
- sound
|
103 |
+
- - dump/raw/voxceleb1_test/trial2.scp
|
104 |
+
- speech2
|
105 |
+
- sound
|
106 |
+
- - dump/raw/voxceleb1_test/trial_label
|
107 |
+
- spk_labels
|
108 |
+
- text
|
109 |
+
allow_variable_data_keys: false
|
110 |
+
max_cache_size: 0.0
|
111 |
+
max_cache_fd: 32
|
112 |
+
allow_multi_rates: false
|
113 |
+
valid_max_cache_size: null
|
114 |
+
exclude_weight_decay: false
|
115 |
+
exclude_weight_decay_conf: {}
|
116 |
+
optim: adam
|
117 |
+
optim_conf:
|
118 |
+
lr: 0.001
|
119 |
+
weight_decay: 5.0e-05
|
120 |
+
amsgrad: false
|
121 |
+
scheduler: cosineannealingwarmuprestarts
|
122 |
+
scheduler_conf:
|
123 |
+
first_cycle_steps: 59480
|
124 |
+
cycle_mult: 1.0
|
125 |
+
max_lr: 0.001
|
126 |
+
min_lr: 5.0e-06
|
127 |
+
warmup_steps: 1000
|
128 |
+
gamma: 0.75
|
129 |
+
init: null
|
130 |
+
use_preprocessor: true
|
131 |
+
input_size: null
|
132 |
+
target_duration: 3.0
|
133 |
+
spk2utt: dump/raw/voxblink_clean_sp/spk2utt
|
134 |
+
spk_num: 55143
|
135 |
+
sample_rate: 16000
|
136 |
+
num_eval: 10
|
137 |
+
rir_scp: ''
|
138 |
+
model_conf:
|
139 |
+
extract_feats_in_collect_stats: false
|
140 |
+
frontend: asteroid_frontend
|
141 |
+
frontend_conf:
|
142 |
+
sinc_stride: 16
|
143 |
+
sinc_kernel_size: 251
|
144 |
+
sinc_filters: 256
|
145 |
+
preemph_coef: 0.97
|
146 |
+
log_term: 1.0e-06
|
147 |
+
specaug: null
|
148 |
+
specaug_conf: {}
|
149 |
+
normalize: null
|
150 |
+
normalize_conf: {}
|
151 |
+
encoder: rawnet3
|
152 |
+
encoder_conf:
|
153 |
+
model_scale: 8
|
154 |
+
ndim: 1024
|
155 |
+
output_size: 1536
|
156 |
+
pooling: chn_attn_stat
|
157 |
+
pooling_conf: {}
|
158 |
+
projector: rawnet3
|
159 |
+
projector_conf:
|
160 |
+
output_size: 192
|
161 |
+
preprocessor: spk
|
162 |
+
preprocessor_conf:
|
163 |
+
target_duration: 3.0
|
164 |
+
sample_rate: 16000
|
165 |
+
num_eval: 5
|
166 |
+
noise_apply_prob: 0.5
|
167 |
+
noise_info:
|
168 |
+
- - 1.0
|
169 |
+
- dump/raw/musan_speech.scp
|
170 |
+
- - 4
|
171 |
+
- 7
|
172 |
+
- - 13
|
173 |
+
- 20
|
174 |
+
- - 1.0
|
175 |
+
- dump/raw/musan_noise.scp
|
176 |
+
- - 1
|
177 |
+
- 1
|
178 |
+
- - 0
|
179 |
+
- 15
|
180 |
+
- - 1.0
|
181 |
+
- dump/raw/musan_music.scp
|
182 |
+
- - 1
|
183 |
+
- 1
|
184 |
+
- - 5
|
185 |
+
- 15
|
186 |
+
rir_apply_prob: 0.5
|
187 |
+
rir_scp: dump/raw/rirs.scp
|
188 |
+
loss: aamsoftmax_sc_topk
|
189 |
+
loss_conf:
|
190 |
+
margin: 0.3
|
191 |
+
scale: 30
|
192 |
+
K: 3
|
193 |
+
mp: 0.06
|
194 |
+
k_top: 5
|
195 |
+
required:
|
196 |
+
- output_dir
|
197 |
+
version: '202310'
|
198 |
+
distributed: true
|
exp/spk_train_rawnet3_vbClean_raw_sp/images/backward_time.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/clip.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/eer.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/forward_time.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/gpu_max_cached_mem_GB.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/grad_norm.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/iter_time.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/loss.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/loss_scale.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/mindcf.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/n_trials.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/nontrg_mean.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/nontrg_std.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/optim0_lr0.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/optim_step_time.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/train_time.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/trg_mean.png
ADDED
exp/spk_train_rawnet3_vbClean_raw_sp/images/trg_std.png
ADDED
meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
espnet: '202310'
|
2 |
+
files:
|
3 |
+
model_file: exp/spk_train_rawnet3_vbClean_raw_sp/30epoch.pth
|
4 |
+
python: "3.9.16 (main, May 15 2023, 23:46:34) \n[GCC 11.2.0]"
|
5 |
+
timestamp: 1704326994.034713
|
6 |
+
torch: 1.13.1
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/spk_train_rawnet3_vbClean_raw_sp/config.yaml
|