popcornell
commited on
Commit
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Update model
Browse files- README.md +274 -0
- exp/enh_stats_16000/train/feats_stats.npz +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/8epoch.pth +3 -0
- exp/enh_train_enh_beamformer_mvdr_raw/RESULTS.md +19 -0
- exp/enh_train_enh_beamformer_mvdr_raw/config.yaml +176 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/backward_time.png +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/forward_time.png +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/gpu_max_cached_mem_GB.png +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/iter_time.png +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/loss.png +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/optim0_lr0.png +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/optim_step_time.png +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/snr_loss.png +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/images/train_time.png +0 -0
- meta.yaml +8 -0
README.md
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---
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license: cc-by-4.0
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---
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---
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tags:
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- espnet
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- audio
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- audio-to-audio
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language: noinfo
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datasets:
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- clarity
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license: cc-by-4.0
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---
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## ESPnet2 ENH model
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### `popcornell/clarity21_train_enh_beamformer_mvdr`
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This model was trained by popcornell using clarity recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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```bash
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cd espnet
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pip install -e .
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cd egs2/clarity/enh_2021
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./run.sh --skip_data_prep false --skip_train true --download_model popcornell/clarity21_train_enh_beamformer_mvdr
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```
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<!-- Generated by ./scripts/utils/show_enh_score.sh -->
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# RESULTS
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## Environments
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- date: `Tue Apr 12 20:54:54 UTC 2022`
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- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
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- espnet version: `espnet 0.10.5a1`
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- pytorch version: `pytorch 1.10.1`
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- Git hash: `46eaa5eb6bea11cc33927392dca7888921491d8c`
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- Commit date: `Sat Mar 26 22:35:44 2022 +0100`
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## ..
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config: conf/tuning/train_enh_beamformer_mvdr.yaml
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|dataset|STOI|SAR|SDR|SIR|
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|---|---|---|---|---|
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|enhanced_dev|0.96|13.02|13.02|0.00|
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## ENH config
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<details><summary>expand</summary>
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```
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config: conf/tuning/train_enh_beamformer_mvdr.yaml
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print_config: false
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log_level: INFO
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dry_run: false
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iterator_type: sequence
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output_dir: exp/enh_train_enh_beamformer_mvdr_raw
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ngpu: 1
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seed: 0
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num_workers: 4
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num_att_plot: 3
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: null
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dist_rank: null
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local_rank: 0
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dist_master_addr: null
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dist_master_port: null
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dist_launcher: null
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multiprocessing_distributed: false
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unused_parameters: false
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sharded_ddp: false
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cudnn_enabled: true
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cudnn_benchmark: false
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cudnn_deterministic: true
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collect_stats: false
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write_collected_feats: false
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max_epoch: 8
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patience: 4
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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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- si_snr
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- max
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- - valid
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- loss
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- min
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keep_nbest_models: 1
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nbest_averaging_interval: 0
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grad_clip: 5.0
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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: false
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log_interval: null
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use_matplotlib: true
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use_tensorboard: true
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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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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: 1
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valid_batch_size: null
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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/enh_stats_16000/train/speech_mix_shape
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- exp/enh_stats_16000/train/speech_ref1_shape
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- exp/enh_stats_16000/train/noise_ref1_shape
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valid_shape_file:
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- exp/enh_stats_16000/valid/speech_mix_shape
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- exp/enh_stats_16000/valid/speech_ref1_shape
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- exp/enh_stats_16000/valid/noise_ref1_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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- 80000
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- 80000
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- 80000
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sort_in_batch: descending
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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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train_data_path_and_name_and_type:
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- - dump/raw/train/wav.scp
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- speech_mix
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- sound
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- - dump/raw/train/spk1.scp
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- speech_ref1
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- sound
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- - dump/raw/train/noise1.scp
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- noise_ref1
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- sound
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valid_data_path_and_name_and_type:
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- - dump/raw/dev/wav.scp
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- speech_mix
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- sound
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- - dump/raw/dev/spk1.scp
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- speech_ref1
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- sound
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- - dump/raw/dev/noise1.scp
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- noise_ref1
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- sound
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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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valid_max_cache_size: null
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optim: adam
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optim_conf:
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lr: 0.001
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eps: 1.0e-08
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weight_decay: 0
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scheduler: reducelronplateau
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scheduler_conf:
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mode: min
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factor: 0.5
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patience: 1
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init: xavier_uniform
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model_conf:
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stft_consistency: false
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loss_type: mask_mse
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mask_type: null
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criterions:
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- name: snr
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conf:
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eps: 1e-8
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wrapper: fixed_order
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wrapper_conf:
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weight: 1.0
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use_preprocessor: false
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encoder: stft
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encoder_conf:
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n_fft: 1024
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hop_length: 512
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use_builtin_complex: false
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separator: wpe_beamformer
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separator_conf:
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num_spk: 1
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loss_type: spectrum
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use_wpe: false
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use_beamformer: true
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bnet_type: blstmp
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blayers: 3
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bunits: 300
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bprojs: 320
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badim: 320
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ref_channel: 0
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use_noise_mask: true
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bnonlinear: sigmoid
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beamformer_type: mvdr_souden
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rtf_iterations: 2
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bdropout_rate: 0.0
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shared_power: true
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diagonal_loading: false
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diag_eps_wpe: 1e-4
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diag_eps_bf: 1e-4
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mask_flooring: false
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flooring_thres_wpe: 1e-6
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flooring_thres_bf: 1e-6
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use_torch_solver: true
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decoder: stft
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decoder_conf:
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n_fft: 1024
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hop_length: 512
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required:
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- output_dir
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version: 0.10.5a1
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distributed: false
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```
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</details>
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### Citing ESPnet
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```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},
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title={{ESPnet}: End-to-End Speech Processing Toolkit},
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year={2018},
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booktitle={Proceedings of Interspeech},
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pages={2207--2211},
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doi={10.21437/Interspeech.2018-1456},
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
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}
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@inproceedings{ESPnet-SE,
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author = {Chenda Li and Jing Shi and Wangyou Zhang and Aswin Shanmugam Subramanian and Xuankai Chang and
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Naoyuki Kamo and Moto Hira and Tomoki Hayashi and Christoph B{"{o}}ddeker and Zhuo Chen and Shinji Watanabe},
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title = {ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for {ASR} Integration},
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booktitle = {{IEEE} Spoken Language Technology Workshop, {SLT} 2021, Shenzhen, China, January 19-22, 2021},
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pages = {785--792},
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publisher = {{IEEE}},
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year = {2021},
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url = {https://doi.org/10.1109/SLT48900.2021.9383615},
|
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doi = {10.1109/SLT48900.2021.9383615},
|
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timestamp = {Mon, 12 Apr 2021 17:08:59 +0200},
|
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biburl = {https://dblp.org/rec/conf/slt/Li0ZSCKHHBC021.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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|
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```
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or arXiv:
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```bibtex
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@misc{watanabe2018espnet,
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title={ESPnet: End-to-End Speech Processing Toolkit},
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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},
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year={2018},
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eprint={1804.00015},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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exp/enh_stats_16000/train/feats_stats.npz
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Binary file (810 Bytes). View file
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exp/enh_train_enh_beamformer_mvdr_raw/8epoch.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:22e4b012ae75d134a0f9fb1306106725bd13dd5e0219554f2f6f92f2c051218a
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size 23399166
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exp/enh_train_enh_beamformer_mvdr_raw/RESULTS.md
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<!-- Generated by ./scripts/utils/show_enh_score.sh -->
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# RESULTS
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## Environments
|
4 |
+
- date: `Tue Apr 12 20:54:54 UTC 2022`
|
5 |
+
- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
|
6 |
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- espnet version: `espnet 0.10.5a1`
|
7 |
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- pytorch version: `pytorch 1.10.1`
|
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- Git hash: `46eaa5eb6bea11cc33927392dca7888921491d8c`
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- Commit date: `Sat Mar 26 22:35:44 2022 +0100`
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## ..
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config: conf/tuning/train_enh_beamformer_mvdr.yaml
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|dataset|STOI|SAR|SDR|SIR|
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|---|---|---|---|---|
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|enhanced_dev|0.96|13.02|13.02|0.00|
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exp/enh_train_enh_beamformer_mvdr_raw/config.yaml
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config: conf/tuning/train_enh_beamformer_mvdr.yaml
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print_config: false
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log_level: INFO
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dry_run: false
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iterator_type: sequence
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output_dir: exp/enh_train_enh_beamformer_mvdr_raw
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ngpu: 1
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seed: 0
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num_workers: 4
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num_att_plot: 3
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: null
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dist_rank: null
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local_rank: 0
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dist_master_addr: null
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dist_master_port: null
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dist_launcher: null
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multiprocessing_distributed: false
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unused_parameters: false
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sharded_ddp: false
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cudnn_enabled: true
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cudnn_benchmark: false
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cudnn_deterministic: true
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collect_stats: false
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write_collected_feats: false
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max_epoch: 8
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patience: 4
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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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- si_snr
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- max
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- - valid
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- loss
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- min
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keep_nbest_models: 1
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nbest_averaging_interval: 0
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grad_clip: 5.0
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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: false
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log_interval: null
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use_matplotlib: true
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use_tensorboard: true
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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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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: 1
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valid_batch_size: null
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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/enh_stats_16000/train/speech_mix_shape
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- exp/enh_stats_16000/train/speech_ref1_shape
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- exp/enh_stats_16000/train/noise_ref1_shape
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valid_shape_file:
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- exp/enh_stats_16000/valid/speech_mix_shape
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- exp/enh_stats_16000/valid/speech_ref1_shape
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- exp/enh_stats_16000/valid/noise_ref1_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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- 80000
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- 80000
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- 80000
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sort_in_batch: descending
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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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train_data_path_and_name_and_type:
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- - dump/raw/train/wav.scp
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- speech_mix
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- sound
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- - dump/raw/train/spk1.scp
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- speech_ref1
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- sound
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- - dump/raw/train/noise1.scp
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- noise_ref1
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- sound
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valid_data_path_and_name_and_type:
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- - dump/raw/dev/wav.scp
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- speech_mix
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- sound
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- - dump/raw/dev/spk1.scp
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- speech_ref1
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- sound
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- - dump/raw/dev/noise1.scp
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- noise_ref1
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- sound
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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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valid_max_cache_size: null
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optim: adam
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optim_conf:
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lr: 0.001
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eps: 1.0e-08
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weight_decay: 0
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scheduler: reducelronplateau
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scheduler_conf:
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mode: min
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factor: 0.5
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patience: 1
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init: xavier_uniform
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model_conf:
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stft_consistency: false
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loss_type: mask_mse
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mask_type: null
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criterions:
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- name: snr
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conf:
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eps: 1e-8
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wrapper: fixed_order
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wrapper_conf:
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weight: 1.0
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use_preprocessor: false
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encoder: stft
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encoder_conf:
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n_fft: 1024
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hop_length: 512
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use_builtin_complex: false
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separator: wpe_beamformer
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separator_conf:
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num_spk: 1
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loss_type: spectrum
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use_wpe: false
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use_beamformer: true
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bnet_type: blstmp
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blayers: 3
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bunits: 300
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bprojs: 320
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badim: 320
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ref_channel: 0
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use_noise_mask: true
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bnonlinear: sigmoid
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beamformer_type: mvdr_souden
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rtf_iterations: 2
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bdropout_rate: 0.0
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shared_power: true
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diagonal_loading: false
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diag_eps_wpe: 1e-4
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diag_eps_bf: 1e-4
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mask_flooring: false
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flooring_thres_wpe: 1e-6
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flooring_thres_bf: 1e-6
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use_torch_solver: true
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decoder: stft
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decoder_conf:
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n_fft: 1024
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hop_length: 512
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required:
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- output_dir
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version: 0.10.5a1
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distributed: false
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exp/enh_train_enh_beamformer_mvdr_raw/images/backward_time.png
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exp/enh_train_enh_beamformer_mvdr_raw/images/forward_time.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/gpu_max_cached_mem_GB.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/iter_time.png
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exp/enh_train_enh_beamformer_mvdr_raw/images/loss.png
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exp/enh_train_enh_beamformer_mvdr_raw/images/optim0_lr0.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/optim_step_time.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/snr_loss.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/train_time.png
ADDED
meta.yaml
ADDED
@@ -0,0 +1,8 @@
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espnet: 0.10.5a1
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files:
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model_file: exp/enh_train_enh_beamformer_mvdr_raw/8epoch.pth
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python: "3.9.7 (default, Sep 16 2021, 13:09:58) \n[GCC 7.5.0]"
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timestamp: 1649796895.876417
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torch: 1.10.1
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yaml_files:
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train_config: exp/enh_train_enh_beamformer_mvdr_raw/config.yaml
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