ESPnet2 pretrained model, neillu23/dns_ins20_enh_train_enh_blstm_tf_raw_valid.loss.best, fs=16k, lang=en
Creators: name: Yen-Ju Lu
Publisher: name: Zenodo
Year: 2021
Subjects: ESPnet
deep-learning
python
pytorch
speech-recognition
speech-synthesis
speech-translation
machine-translation

description: This model was trained by neillu23 using dns_ins20 recipe in espnet. <strong>Python API</strong> <pre><code class="language-python">See https://github.com/espnet/espnet_model_zoo</code></pre> <strong>Evaluate in the recipe</strong> <pre><code class="language-bash">git clone https://github.com/espnet/espnet cd espnet git checkout f484fd3a94ac4565af2cea52f59627a4cfe3b16a pip install -e . cd egs2/dns_ins20/enh1 ./run.sh --skip_data_prep false --skip_train true --download_model neillu23/dns_ins20_enh_train_enh_blstm_tf_raw_valid.loss.best</code> </pre> <strong>Results</strong> <pre><code> # RESULTS ## Environments - date: `Wed Jun 9 09:49:34 CST 2021` - python version: `3.8.10 (default, May 19 2021, 18:05:58) [GCC 7.3.0]` - espnet version: `espnet 0.9.9` - pytorch version: `pytorch 1.4.0` - Git hash: `c1dfefb98bf59f654e0907b9681668eaca8ddfcc` - Commit date: `Tue Jun 8 17:23:26 2021 +0800` ## enh_train_enh_blstm_tf_raw config: ./conf/tuning/train_enh_blstm_tf.yaml |dataset|STOI|SAR|SDR|SIR| |---|---|---|---|---| |enhanced_cv_synthetic|0.98|23.87|23.87|0.00| |enhanced_tt_synthetic_no_reverb|0.96|15.94|15.94|0.00| |enhanced_tt_synthetic_with_reverb|0.84|11.86|11.86|0.00|</code></pre> <strong>Enhancement config</strong> <pre><code>config: ./conf/tuning/train_enh_blstm_tf.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/enh_train_enh_blstm_tf_raw ngpu: 1 seed: 0 num_workers: 4 num_att_plot: 3 dist_backend: nccl dist_init_method: env:// dist_world_size: 2 dist_rank: 0 local_rank: 0 dist_master_addr: localhost dist_master_port: 45398 dist_launcher: null multiprocessing_distributed: true unused_parameters: false sharded_ddp: false cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 100 patience: 10 val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - si_snr - max - - valid - loss - min keep_nbest_models: 1 grad_clip: 5.0 grad_clip_type: 2.0 grad_noise: false accum_grad: 1 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null detect_anomaly: false pretrain_path: null init_param: [] ignore_init_mismatch: false freeze_param: [] num_iters_per_epoch: null batch_size: 64 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - exp/enh_stats_16k/train/speech_mix_shape - exp/enh_stats_16k/train/speech_ref1_shape - exp/enh_stats_16k/train/noise_ref1_shape valid_shape_file: - exp/enh_stats_16k/valid/speech_mix_shape - exp/enh_stats_16k/valid/speech_ref1_shape - exp/enh_stats_16k/valid/noise_ref1_shape batch_type: folded valid_batch_type: null fold_length: - 80000 - 80000 - 80000 sort_in_batch: descending sort_batch: descending multiple_iterator: false chunk_length: 500 chunk_shift_ratio: 0.5 num_cache_chunks: 1024 train_data_path_and_name_and_type: - - dump/raw/tr_synthetic/wav.scp - speech_mix - sound - - dump/raw/tr_synthetic/spk1.scp - speech_ref1 - sound - - dump/raw/tr_synthetic/noise1.scp - noise_ref1 - sound valid_data_path_and_name_and_type: - - dump/raw/cv_synthetic/wav.scp - speech_mix - sound - - dump/raw/cv_synthetic/spk1.scp - speech_ref1 - sound - - dump/raw/cv_synthetic/noise1.scp - noise_ref1 - sound allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: adam optim_conf: lr: 0.001 eps: 1.0e-08 weight_decay: 1.0e-07 scheduler: reducelronplateau scheduler_conf: mode: min factor: 0.7 patience: 1 init: xavier_uniform model_conf: loss_type: mask_mse mask_type: psm use_preprocessor: false encoder: stft encoder_conf: n_fft: 256 hop_length: 128 separator: rnn separator_conf: rnn_type: blstm num_spk: 1 nonlinear: relu layer: 3 unit: 896 dropout: 0.5 decoder: stft decoder_conf: n_fft: 256 hop_length: 128 required: - output_dir version: 0.9.9 distributed: true</code></pre>