Wangyou Zhang
commited on
Commit
•
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Parent(s):
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Update model
Browse files- README.md +241 -3
- exp/enh_stats_16k/train/feats_stats.npz +0 -0
- exp/enh_train_enh_beamformer_mvdr_raw/11epoch.pth +3 -0
- exp/enh_train_enh_beamformer_mvdr_raw/RESULTS.TXT +20 -0
- exp/enh_train_enh_beamformer_mvdr_raw/config.yaml +157 -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/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/lr_0.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/si_snr.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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tags:
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- espnet
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- audio
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- audio-to-audio
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language:
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datasets:
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- chime4
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license: cc-by-4.0
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---
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## ESPnet2 ENH model
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### ``
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This model was trained by Wangyou Zhang using chime4 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 wyz/Downloads/Wangyou_Zhang_chime4_enh_train_enh_beamformer_mvdr_raw
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./run.sh --skip_data_prep false --skip_train true --download_model
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```
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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: 2
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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: 35841
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dist_launcher: null
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multiprocessing_distributed: true
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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: 70
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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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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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unused_parameters: false
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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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pretrain_path: null
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init_param: []
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freeze_param: []
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num_iters_per_epoch: null
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batch_size: 8
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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_16k/train/speech_mix_shape
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- exp/enh_stats_16k/train/speech_ref1_shape
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- exp/enh_stats_16k/train/noise_ref1_shape
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valid_shape_file:
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- exp/enh_stats_16k/valid/speech_mix_shape
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- exp/enh_stats_16k/valid/speech_ref1_shape
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- exp/enh_stats_16k/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/tr05_simu_isolated_6ch_track/wav.scp
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- speech_mix
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- sound
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- - dump/raw/tr05_simu_isolated_6ch_track/spk1.scp
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- speech_ref1
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- sound
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- - dump/raw/tr05_simu_isolated_6ch_track/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/dt05_simu_isolated_6ch_track/wav.scp
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- speech_mix
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- sound
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- - dump/raw/dt05_simu_isolated_6ch_track/spk1.scp
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- speech_ref1
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- sound
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- - dump/raw/dt05_simu_isolated_6ch_track/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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loss_type: mask_mse
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mask_type: PSM^2
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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: 512
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hop_length: 128
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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: mask_mse
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use_wpe: false
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wnet_type: blstmp
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wlayers: 3
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wunits: 300
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wprojs: 320
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wdropout_rate: 0.0
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taps: 5
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delay: 3
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use_dnn_mask_for_wpe: true
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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: 512
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bprojs: 512
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badim: 320
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ref_channel: 3
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use_noise_mask: true
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beamformer_type: mvdr_souden
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bdropout_rate: 0.0
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decoder: stft
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decoder_conf:
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n_fft: 512
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hop_length: 128
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required:
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- output_dir
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version: 0.9.7
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distributed: true
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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{li2021espnetse,
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title={{ESPnet-SE}: End-to-End Speech Enhancement and Separation Toolkit Designed for {ASR} Integration},
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author={Li, Chenda and Shi, Jing and Zhang, Wangyou and Subramanian, Aswin Shanmugam and Chang, Xuankai and Kamo, Naoyuki and Hira, Moto and Hayashi, Tomoki and Boeddeker, Christoph and Chen, Zhuo and Watanabe, Shinji},
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booktitle={Proc. IEEE Spoken Language Technology Workshop (SLT)},
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pages={785--792},
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year={2021},
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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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@inproceedings{li2021espnetse,
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title={{ESPnet-SE}: End-to-End Speech Enhancement and Separation Toolkit Designed for {ASR} Integration},
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author={Li, Chenda and Shi, Jing and Zhang, Wangyou and Subramanian, Aswin Shanmugam and Chang, Xuankai and Kamo, Naoyuki and Hira, Moto and Hayashi, Tomoki and Boeddeker, Christoph and Chen, Zhuo and Watanabe, Shinji},
|
236 |
+
year={2020},
|
237 |
+
eprint={2011.03706},
|
238 |
+
archivePrefix={arXiv},
|
239 |
+
primaryClass={eess.AS}
|
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+
}
|
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+
```
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exp/enh_stats_16k/train/feats_stats.npz
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Binary file (742 Bytes). View file
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exp/enh_train_enh_beamformer_mvdr_raw/11epoch.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:418c3c7ab136dea6ae4cfbd9084493dc8e18e95b68b60af9368d194955063eff
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size 53613220
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exp/enh_train_enh_beamformer_mvdr_raw/RESULTS.TXT
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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: `Thu Jan 28 22:28:34 CST 2021`
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- python version: `3.6.3 |Anaconda, Inc.| (default, Nov 20 2017, 20:41:42) [GCC 7.2.0]`
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- espnet version: `espnet 0.9.7`
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- pytorch version: `pytorch 1.6.0`
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- Git hash: `eddccfa7a296fcf8fd744200d7e8113f9a3c7e69`
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- Commit date: `Thu Jan 21 21:42:24 2021 +0800`
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## enh_train_enh_beamformer_mvdr_raw
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config: conf/tuning/train_enh_beamformer_mvdr.yaml
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|dataset|PESQ|STOI|SAR|SDR|SIR|SI_SNR|
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|---|---|---|---|---|---|---|
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|enhanced_dt05_simu_isolated_6ch_track|2.60262|0.945147|13.6748|13.6748|0|12.5195|
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|enhanced_et05_simu_isolated_6ch_track|2.63531|0.950153|15.5108|15.5108|0|14.6525|
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exp/enh_train_enh_beamformer_mvdr_raw/config.yaml
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|
1 |
+
config: conf/tuning/train_enh_beamformer_mvdr.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/enh_train_enh_beamformer_mvdr_raw
|
7 |
+
ngpu: 1
|
8 |
+
seed: 0
|
9 |
+
num_workers: 4
|
10 |
+
num_att_plot: 3
|
11 |
+
dist_backend: nccl
|
12 |
+
dist_init_method: env://
|
13 |
+
dist_world_size: 2
|
14 |
+
dist_rank: 0
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: localhost
|
17 |
+
dist_master_port: 35841
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: true
|
20 |
+
cudnn_enabled: true
|
21 |
+
cudnn_benchmark: false
|
22 |
+
cudnn_deterministic: true
|
23 |
+
collect_stats: false
|
24 |
+
write_collected_feats: false
|
25 |
+
max_epoch: 70
|
26 |
+
patience: 4
|
27 |
+
val_scheduler_criterion:
|
28 |
+
- valid
|
29 |
+
- loss
|
30 |
+
early_stopping_criterion:
|
31 |
+
- valid
|
32 |
+
- loss
|
33 |
+
- min
|
34 |
+
best_model_criterion:
|
35 |
+
- - valid
|
36 |
+
- si_snr
|
37 |
+
- max
|
38 |
+
- - valid
|
39 |
+
- loss
|
40 |
+
- min
|
41 |
+
keep_nbest_models: 1
|
42 |
+
grad_clip: 5.0
|
43 |
+
grad_clip_type: 2.0
|
44 |
+
grad_noise: false
|
45 |
+
accum_grad: 1
|
46 |
+
no_forward_run: false
|
47 |
+
resume: true
|
48 |
+
train_dtype: float32
|
49 |
+
use_amp: false
|
50 |
+
log_interval: null
|
51 |
+
unused_parameters: false
|
52 |
+
use_tensorboard: true
|
53 |
+
use_wandb: false
|
54 |
+
wandb_project: null
|
55 |
+
wandb_id: null
|
56 |
+
pretrain_path: null
|
57 |
+
init_param: []
|
58 |
+
freeze_param: []
|
59 |
+
num_iters_per_epoch: null
|
60 |
+
batch_size: 8
|
61 |
+
valid_batch_size: null
|
62 |
+
batch_bins: 1000000
|
63 |
+
valid_batch_bins: null
|
64 |
+
train_shape_file:
|
65 |
+
- exp/enh_stats_16k/train/speech_mix_shape
|
66 |
+
- exp/enh_stats_16k/train/speech_ref1_shape
|
67 |
+
- exp/enh_stats_16k/train/noise_ref1_shape
|
68 |
+
valid_shape_file:
|
69 |
+
- exp/enh_stats_16k/valid/speech_mix_shape
|
70 |
+
- exp/enh_stats_16k/valid/speech_ref1_shape
|
71 |
+
- exp/enh_stats_16k/valid/noise_ref1_shape
|
72 |
+
batch_type: folded
|
73 |
+
valid_batch_type: null
|
74 |
+
fold_length:
|
75 |
+
- 80000
|
76 |
+
- 80000
|
77 |
+
- 80000
|
78 |
+
sort_in_batch: descending
|
79 |
+
sort_batch: descending
|
80 |
+
multiple_iterator: false
|
81 |
+
chunk_length: 500
|
82 |
+
chunk_shift_ratio: 0.5
|
83 |
+
num_cache_chunks: 1024
|
84 |
+
train_data_path_and_name_and_type:
|
85 |
+
- - dump/raw/tr05_simu_isolated_6ch_track/wav.scp
|
86 |
+
- speech_mix
|
87 |
+
- sound
|
88 |
+
- - dump/raw/tr05_simu_isolated_6ch_track/spk1.scp
|
89 |
+
- speech_ref1
|
90 |
+
- sound
|
91 |
+
- - dump/raw/tr05_simu_isolated_6ch_track/noise1.scp
|
92 |
+
- noise_ref1
|
93 |
+
- sound
|
94 |
+
valid_data_path_and_name_and_type:
|
95 |
+
- - dump/raw/dt05_simu_isolated_6ch_track/wav.scp
|
96 |
+
- speech_mix
|
97 |
+
- sound
|
98 |
+
- - dump/raw/dt05_simu_isolated_6ch_track/spk1.scp
|
99 |
+
- speech_ref1
|
100 |
+
- sound
|
101 |
+
- - dump/raw/dt05_simu_isolated_6ch_track/noise1.scp
|
102 |
+
- noise_ref1
|
103 |
+
- sound
|
104 |
+
allow_variable_data_keys: false
|
105 |
+
max_cache_size: 0.0
|
106 |
+
max_cache_fd: 32
|
107 |
+
valid_max_cache_size: null
|
108 |
+
optim: adam
|
109 |
+
optim_conf:
|
110 |
+
lr: 0.001
|
111 |
+
eps: 1.0e-08
|
112 |
+
weight_decay: 0
|
113 |
+
scheduler: reducelronplateau
|
114 |
+
scheduler_conf:
|
115 |
+
mode: min
|
116 |
+
factor: 0.5
|
117 |
+
patience: 1
|
118 |
+
init: xavier_uniform
|
119 |
+
model_conf:
|
120 |
+
loss_type: mask_mse
|
121 |
+
mask_type: PSM^2
|
122 |
+
use_preprocessor: false
|
123 |
+
encoder: stft
|
124 |
+
encoder_conf:
|
125 |
+
n_fft: 512
|
126 |
+
hop_length: 128
|
127 |
+
separator: wpe_beamformer
|
128 |
+
separator_conf:
|
129 |
+
num_spk: 1
|
130 |
+
loss_type: mask_mse
|
131 |
+
use_wpe: false
|
132 |
+
wnet_type: blstmp
|
133 |
+
wlayers: 3
|
134 |
+
wunits: 300
|
135 |
+
wprojs: 320
|
136 |
+
wdropout_rate: 0.0
|
137 |
+
taps: 5
|
138 |
+
delay: 3
|
139 |
+
use_dnn_mask_for_wpe: true
|
140 |
+
use_beamformer: true
|
141 |
+
bnet_type: blstmp
|
142 |
+
blayers: 3
|
143 |
+
bunits: 512
|
144 |
+
bprojs: 512
|
145 |
+
badim: 320
|
146 |
+
ref_channel: 3
|
147 |
+
use_noise_mask: true
|
148 |
+
beamformer_type: mvdr_souden
|
149 |
+
bdropout_rate: 0.0
|
150 |
+
decoder: stft
|
151 |
+
decoder_conf:
|
152 |
+
n_fft: 512
|
153 |
+
hop_length: 128
|
154 |
+
required:
|
155 |
+
- output_dir
|
156 |
+
version: 0.9.7
|
157 |
+
distributed: true
|
exp/enh_train_enh_beamformer_mvdr_raw/images/backward_time.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/forward_time.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/iter_time.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/loss.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/lr_0.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/optim_step_time.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/si_snr.png
ADDED
exp/enh_train_enh_beamformer_mvdr_raw/images/train_time.png
ADDED
meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
espnet: 0.9.7
|
2 |
+
files:
|
3 |
+
model_file: exp/enh_train_enh_beamformer_mvdr_raw/11epoch.pth
|
4 |
+
python: "3.6.3 |Anaconda, Inc.| (default, Nov 20 2017, 20:41:42) \n[GCC 7.2.0]"
|
5 |
+
timestamp: 1644422365.226252
|
6 |
+
torch: 1.6.0
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/enh_train_enh_beamformer_mvdr_raw/config.yaml
|