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--- |
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tags: |
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- espnet |
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- audio |
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- automatic-speech-recognition |
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language: en2 |
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datasets: |
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- esc50 |
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license: cc-by-4.0 |
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--- |
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## ESPnet2 ASR model |
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### `shikhar7ssu/BEATs-ESC-FinetunedFold2` |
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This model was trained by Shikhar Bharadwaj using esc50 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 ca9ca1ef8bc86753238ca7a0de05d87b8f57abb3 |
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pip install -e . |
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cd egs2/esc50/asr1 |
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./run.sh --skip_data_prep false --skip_train true --download_model shikhar7ssu/BEATs-ESC-FinetunedFold2 |
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``` |
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<!-- Generated by scripts/utils/show_asr_result.sh --> |
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# RESULTS |
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## Environments |
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- date: `Sat Dec 14 18:44:26 EST 2024` |
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- python version: `3.9.20 (main, Oct 3 2024, 07:27:41) [GCC 11.2.0]` |
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- espnet version: `espnet 202412` |
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- pytorch version: `pytorch 2.4.0` |
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- Git hash: `cb80e61a15d6a13dc342ae5a413d2b870dd869c6` |
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- Commit date: `Fri Dec 13 11:57:16 2024 -0500` |
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## /compute/babel-13-33/sbharad2/expdir/asr_fast.fold2/inference_ctc_weight0.0_maxlenratio-1_asr_model_valid.acc.best |
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### WER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
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|---|---|---|---|---|---|---|---|---| |
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|org/val2|400|400|97.0|3.0|0.0|0.0|3.0|3.0| |
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### CER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
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|---|---|---|---|---|---|---|---|---| |
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|org/val2|400|5520|99.7|0.3|0.0|0.0|0.3|3.0| |
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### TER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
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|---|---|---|---|---|---|---|---|---| |
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## ASR config |
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<details><summary>expand</summary> |
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``` |
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config: conf/beats_classification.yaml |
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print_config: false |
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log_level: INFO |
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drop_last_iter: false |
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dry_run: false |
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iterator_type: sequence |
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valid_iterator_type: null |
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output_dir: /compute/babel-13-33/sbharad2/expdir/asr_fast.fold2 |
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ngpu: 1 |
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seed: 0 |
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num_workers: 2 |
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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: 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: true |
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sharded_ddp: false |
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use_deepspeed: false |
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deepspeed_config: null |
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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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use_tf32: false |
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collect_stats: false |
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write_collected_feats: false |
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max_epoch: 1000 |
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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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- acc |
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- max |
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keep_nbest_models: 1 |
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nbest_averaging_interval: 0 |
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grad_clip: 1 |
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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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create_graph_in_tensorboard: false |
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use_wandb: true |
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wandb_project: BEATs-ESC |
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wandb_id: null |
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wandb_entity: shikhar |
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wandb_name: fast.fold2 |
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wandb_model_log_interval: 0 |
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detect_anomaly: false |
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use_adapter: false |
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adapter: lora |
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save_strategy: all |
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adapter_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: 128 |
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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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category_sample_size: 10 |
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train_shape_file: |
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- /compute/babel-13-33/sbharad2/expdir/asr_stats_raw_2_word/train/speech_shape |
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- /compute/babel-13-33/sbharad2/expdir/asr_stats_raw_2_word/train/text_shape.word |
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valid_shape_file: |
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- /compute/babel-13-33/sbharad2/expdir/asr_stats_raw_2_word/valid/speech_shape |
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- /compute/babel-13-33/sbharad2/expdir/asr_stats_raw_2_word/valid/text_shape.word |
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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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- 100000 |
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- 150 |
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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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chunk_max_abs_length: null |
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chunk_discard_short_samples: true |
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train_data_path_and_name_and_type: |
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- - /compute/babel-13-33/sbharad2/dumpdir/raw/train2/wav.scp |
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- speech |
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- sound |
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- - /compute/babel-13-33/sbharad2/dumpdir/raw/train2/text |
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- text |
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- text |
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valid_data_path_and_name_and_type: |
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- - /compute/babel-13-33/sbharad2/dumpdir/raw/val2/wav.scp |
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- speech |
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- sound |
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- - /compute/babel-13-33/sbharad2/dumpdir/raw/val2/text |
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- text |
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- text |
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multi_task_dataset: false |
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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: adamw |
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optim_conf: |
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lr: 0.0001 |
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weight_decay: 0.01 |
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betas: |
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- 0.9 |
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- 0.98 |
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scheduler: cosineannealingwarmuprestarts |
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scheduler_conf: |
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first_cycle_steps: 6000 |
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warmup_steps: 300 |
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max_lr: 0.0001 |
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min_lr: 5.0e-06 |
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token_list: |
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- <blank> |
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- <unk> |
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- audio_class:0 |
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- audio_class:14 |
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- audio_class:36 |
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- audio_class:19 |
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- audio_class:30 |
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- audio_class:34 |
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- audio_class:9 |
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- audio_class:22 |
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- audio_class:48 |
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- audio_class:41 |
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- audio_class:47 |
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- audio_class:31 |
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- audio_class:17 |
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- audio_class:45 |
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- audio_class:8 |
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- audio_class:15 |
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- audio_class:46 |
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- audio_class:37 |
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- audio_class:32 |
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- audio_class:16 |
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- audio_class:25 |
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- audio_class:4 |
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- audio_class:3 |
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- audio_class:27 |
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- audio_class:43 |
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- audio_class:12 |
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- audio_class:40 |
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- audio_class:29 |
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- audio_class:10 |
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- audio_class:7 |
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- audio_class:26 |
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- audio_class:6 |
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- audio_class:44 |
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- audio_class:23 |
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- audio_class:20 |
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- audio_class:49 |
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- audio_class:24 |
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- audio_class:39 |
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- audio_class:28 |
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- audio_class:18 |
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- audio_class:2 |
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- audio_class:35 |
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- audio_class:38 |
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- audio_class:21 |
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- audio_class:1 |
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- audio_class:11 |
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- audio_class:42 |
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- audio_class:5 |
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- audio_class:33 |
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- audio_class:13 |
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- <sos/eos> |
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init: xavier_normal |
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input_size: 1 |
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ctc_conf: |
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dropout_rate: 0.0 |
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ctc_type: builtin |
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reduce: true |
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ignore_nan_grad: null |
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zero_infinity: true |
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brctc_risk_strategy: exp |
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brctc_group_strategy: end |
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brctc_risk_factor: 0.0 |
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joint_net_conf: null |
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use_preprocessor: true |
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use_lang_prompt: false |
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use_nlp_prompt: false |
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token_type: word |
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bpemodel: null |
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non_linguistic_symbols: null |
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cleaner: null |
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g2p: null |
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speech_volume_normalize: null |
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rir_scp: null |
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rir_apply_prob: 1.0 |
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noise_scp: null |
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noise_apply_prob: 1.0 |
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noise_db_range: '13_15' |
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short_noise_thres: 0.5 |
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aux_ctc_tasks: [] |
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frontend: null |
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frontend_conf: {} |
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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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model: espnet |
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model_conf: |
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ctc_weight: 0.0 |
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lsm_weight: 0.1 |
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length_normalized_loss: true |
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preencoder: null |
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preencoder_conf: {} |
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encoder: beats |
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encoder_conf: |
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beats_ckpt_path: /compute/babel-13-33/sbharad2/models/BEATs/BEATs_iter3.pt |
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fbank_mean: 11.72215 |
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fbank_std: 10.60431 |
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beats_config: |
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layer_wise_gradient_decay_ratio: 0.2 |
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encoder_layerdrop: 0.1 |
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dropout: 0.0 |
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specaug_config: |
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apply_time_warp: true |
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apply_freq_mask: false |
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freq_mask_width_range: |
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- 0 |
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- 32 |
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num_freq_mask: 1 |
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apply_time_mask: true |
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time_mask_width_ratio_range: |
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- 0 |
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- 0.06 |
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num_time_mask: 1 |
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roll_augment: true |
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roll_interval: 16000 |
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use_weighted_representation: false |
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postencoder: null |
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postencoder_conf: {} |
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decoder: linear_decoder |
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decoder_conf: |
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pooling: mean |
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dropout: 0.1 |
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preprocessor: default |
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preprocessor_conf: {} |
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required: |
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- output_dir |
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- token_list |
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version: '202412' |
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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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