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--- |
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tags: |
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- espnet |
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- audio |
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- diarization |
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language: noinfo |
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datasets: |
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- mini_librispeech |
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license: cc-by-4.0 |
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--- |
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## ESPnet2 DIAR model |
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### `jkang/espnet2_mini_librispeech_diar` |
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This model was trained by jaekookang using mini_librispeech 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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git checkout e08a89e0a43db7fc12bec835c62a000ad10bd417 |
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pip install -e . |
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cd egs2/mini_librispeech/diar1 |
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./run.sh --skip_data_prep false --skip_train true --download_model jkang/espnet2_mini_librispeech_diar |
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``` |
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<!-- Generated by scripts/utils/show_diar_result.sh --> |
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# RESULTS |
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## Environments |
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- date: `Tue Feb 8 16:41:16 KST 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 0.10.6a1` |
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- pytorch version: `pytorch 1.10.1` |
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- Git hash: `e08a89e0a43db7fc12bec835c62a000ad10bd417` |
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- Commit date: `Sun Feb 6 18:54:20 2022 -0500` |
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## diar_train_diar_raw |
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### DER |
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dev_clean_2_ns2_beta2_500 |
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|threshold_median_collar|DER| |
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|---|---| |
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|result_th0.3_med11_collar0.0|31.39| |
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|result_th0.3_med1_collar0.0|31.78| |
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|result_th0.4_med11_collar0.0|29.99| |
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|result_th0.4_med1_collar0.0|30.61| |
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|result_th0.5_med11_collar0.0|29.28| |
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|result_th0.5_med1_collar0.0|30.19| |
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|result_th0.6_med11_collar0.0|29.50| |
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|result_th0.6_med1_collar0.0|30.66| |
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|result_th0.7_med11_collar0.0|30.90| |
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|result_th0.7_med1_collar0.0|32.38| |
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## DIAR config |
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<details><summary>expand</summary> |
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``` |
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config: conf/train_diar.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: chunk |
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output_dir: exp/diar_train_diar_raw |
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ngpu: 1 |
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seed: 0 |
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num_workers: 1 |
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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: 100 |
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patience: 3 |
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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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- acc |
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- max |
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keep_nbest_models: 3 |
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nbest_averaging_interval: 0 |
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grad_clip: 5 |
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grad_clip_type: 2.0 |
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grad_noise: false |
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accum_grad: 2 |
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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: 16 |
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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/diar_stats_8k/train/speech_shape |
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- exp/diar_stats_8k/train/spk_labels_shape |
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valid_shape_file: |
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- exp/diar_stats_8k/valid/speech_shape |
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- exp/diar_stats_8k/valid/spk_labels_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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- 800 |
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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: 200000 |
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chunk_shift_ratio: 0.5 |
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num_cache_chunks: 64 |
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train_data_path_and_name_and_type: |
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- - dump/raw/simu/data/train_clean_5_ns2_beta2_500/wav.scp |
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- speech |
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- sound |
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- - dump/raw/simu/data/train_clean_5_ns2_beta2_500/espnet_rttm |
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- spk_labels |
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- rttm |
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valid_data_path_and_name_and_type: |
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- - dump/raw/simu/data/dev_clean_2_ns2_beta2_500/wav.scp |
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- speech |
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- sound |
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- - dump/raw/simu/data/dev_clean_2_ns2_beta2_500/espnet_rttm |
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- spk_labels |
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- rttm |
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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: 0.01 |
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scheduler: noamlr |
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scheduler_conf: |
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warmup_steps: 1000 |
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num_spk: 2 |
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init: xavier_uniform |
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input_size: null |
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model_conf: |
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attractor_weight: 1.0 |
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use_preprocessor: true |
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frontend: default |
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frontend_conf: |
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fs: 8k |
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hop_length: 128 |
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specaug: null |
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specaug_conf: {} |
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normalize: global_mvn |
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normalize_conf: |
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stats_file: exp/diar_stats_8k/train/feats_stats.npz |
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encoder: transformer |
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encoder_conf: |
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input_layer: linear |
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num_blocks: 2 |
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linear_units: 512 |
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dropout_rate: 0.1 |
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output_size: 256 |
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attention_heads: 4 |
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attention_dropout_rate: 0.0 |
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decoder: linear |
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decoder_conf: {} |
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label_aggregator: label_aggregator |
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label_aggregator_conf: {} |
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attractor: null |
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attractor_conf: {} |
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required: |
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- output_dir |
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version: 0.10.6a1 |
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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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``` |
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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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