| --- |
| tags: |
| - espnet |
| - audio |
| - automatic-speech-recognition |
| language: en |
| datasets: |
| - librispeech |
| license: cc-by-4.0 |
| --- |
| |
| ## ESPnet2 ASR model |
|
|
| ### `espnet/cmusic_dev` |
| |
| This model was trained by William Chen using librispeech recipe in [espnet](https://github.com/espnet/espnet/). |
| |
| ### Demo: How to use in ESPnet2 |
| |
| Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html) |
| if you haven't done that already. |
| |
| ```bash |
| cd espnet |
| git checkout 2d8caa9a5975195fbd59c6001b0e3e80d7aaff6a |
| pip install -e . |
| cd egs2/librispeech/asr1 |
| ./run.sh --skip_data_prep false --skip_train true --download_model espnet/cmusic_dev |
| ``` |
| |
| |
| |
| ## ASR config |
| |
| <details><summary>expand</summary> |
| |
| ``` |
| config: conf/train_asr_transformer.yaml |
| print_config: false |
| log_level: INFO |
| drop_last_iter: false |
| dry_run: false |
| iterator_type: sequence |
| valid_iterator_type: null |
| output_dir: exp/asr_train_asr_transformer_raw_en_word |
| ngpu: 1 |
| seed: 0 |
| num_workers: 4 |
| num_att_plot: 0 |
| dist_backend: nccl |
| dist_init_method: env:// |
| dist_world_size: null |
| dist_rank: null |
| local_rank: 0 |
| dist_master_addr: null |
| dist_master_port: null |
| dist_launcher: null |
| multiprocessing_distributed: false |
| unused_parameters: false |
| sharded_ddp: false |
| use_deepspeed: false |
| deepspeed_config: null |
| gradient_as_bucket_view: true |
| ddp_comm_hook: null |
| cudnn_enabled: true |
| cudnn_benchmark: false |
| cudnn_deterministic: true |
| use_tf32: false |
| collect_stats: false |
| write_collected_feats: false |
| max_epoch: 500 |
| patience: null |
| val_scheduler_criterion: |
| - valid |
| - loss |
| early_stopping_criterion: |
| - valid |
| - loss |
| - min |
| best_model_criterion: |
| - - valid |
| - acc |
| - max |
| keep_nbest_models: 10 |
| nbest_averaging_interval: 0 |
| grad_clip: 100.0 |
| grad_clip_type: 2.0 |
| grad_noise: false |
| accum_grad: 1 |
| no_forward_run: false |
| resume: true |
| train_dtype: float32 |
| use_amp: true |
| log_interval: null |
| use_matplotlib: true |
| use_tensorboard: true |
| create_graph_in_tensorboard: false |
| use_wandb: false |
| wandb_project: null |
| wandb_id: null |
| wandb_entity: null |
| wandb_name: null |
| wandb_model_log_interval: -1 |
| detect_anomaly: false |
| use_adapter: false |
| adapter: lora |
| save_strategy: all |
| adapter_conf: {} |
| pretrain_path: null |
| init_param: [] |
| ignore_init_mismatch: false |
| freeze_param: [] |
| num_iters_per_epoch: null |
| batch_size: 20 |
| valid_batch_size: null |
| batch_bins: 32000000 |
| valid_batch_bins: null |
| category_sample_size: 10 |
| upsampling_factor: 0.5 |
| category_upsampling_factor: 0.5 |
| dataset_upsampling_factor: 0.5 |
| dataset_scaling_factor: 1.2 |
| max_batch_size: null |
| min_batch_size: 1 |
| train_shape_file: |
| - exp/asr_stats_raw_en_word/train/speech_shape |
| - exp/asr_stats_raw_en_word/train/text_shape.word |
| valid_shape_file: |
| - exp/asr_stats_raw_en_word/valid/speech_shape |
| - exp/asr_stats_raw_en_word/valid/text_shape.word |
| batch_type: numel |
| valid_batch_type: null |
| fold_length: |
| - 80000 |
| - 150 |
| sort_in_batch: descending |
| shuffle_within_batch: false |
| sort_batch: descending |
| multiple_iterator: false |
| chunk_length: 500 |
| chunk_shift_ratio: 0.5 |
| num_cache_chunks: 1024 |
| chunk_excluded_key_prefixes: [] |
| chunk_default_fs: null |
| chunk_max_abs_length: null |
| chunk_discard_short_samples: true |
| train_data_path_and_name_and_type: |
| - - dump/raw/maestro_train_onsets/wav.scp |
| - speech |
| - sound |
| - - dump/raw/maestro_train_onsets/text |
| - text |
| - text |
| valid_data_path_and_name_and_type: |
| - - dump/raw/maestro_dev_onsets/wav.scp |
| - speech |
| - sound |
| - - dump/raw/maestro_dev_onsets/text |
| - text |
| - text |
| multi_task_dataset: false |
| allow_variable_data_keys: false |
| max_cache_size: 0.0 |
| max_cache_fd: 32 |
| allow_multi_rates: false |
| valid_max_cache_size: null |
| exclude_weight_decay: false |
| exclude_weight_decay_conf: {} |
| optim: adam |
| optim_conf: |
| lr: 2.5e-05 |
| scheduler: warmuplr |
| scheduler_conf: |
| warmup_steps: 5000 |
| token_list: |
| - <blank> |
| - <unk> |
| - AMT_MULTIINS_ONSETS |
| - AMT_ONSETS |
| - NOTE_ON_021 |
| - NOTE_ON_022 |
| - NOTE_ON_023 |
| - NOTE_ON_024 |
| - NOTE_ON_025 |
| - NOTE_ON_026 |
| - NOTE_ON_027 |
| - NOTE_ON_028 |
| - NOTE_ON_029 |
| - NOTE_ON_030 |
| - NOTE_ON_031 |
| - NOTE_ON_032 |
| - NOTE_ON_033 |
| - NOTE_ON_034 |
| - NOTE_ON_035 |
| - NOTE_ON_036 |
| - NOTE_ON_037 |
| - NOTE_ON_038 |
| - NOTE_ON_039 |
| - NOTE_ON_040 |
| - NOTE_ON_041 |
| - NOTE_ON_042 |
| - NOTE_ON_043 |
| - NOTE_ON_044 |
| - NOTE_ON_045 |
| - NOTE_ON_046 |
| - NOTE_ON_047 |
| - NOTE_ON_048 |
| - NOTE_ON_049 |
| - NOTE_ON_050 |
| - NOTE_ON_051 |
| - NOTE_ON_052 |
| - NOTE_ON_053 |
| - NOTE_ON_054 |
| - NOTE_ON_055 |
| - NOTE_ON_056 |
| - NOTE_ON_057 |
| - NOTE_ON_058 |
| - NOTE_ON_059 |
| - NOTE_ON_060 |
| - NOTE_ON_061 |
| - NOTE_ON_062 |
| - NOTE_ON_063 |
| - NOTE_ON_064 |
| - NOTE_ON_065 |
| - NOTE_ON_066 |
| - NOTE_ON_067 |
| - NOTE_ON_068 |
| - NOTE_ON_069 |
| - NOTE_ON_070 |
| - NOTE_ON_071 |
| - NOTE_ON_072 |
| - NOTE_ON_073 |
| - NOTE_ON_074 |
| - NOTE_ON_075 |
| - NOTE_ON_076 |
| - NOTE_ON_077 |
| - NOTE_ON_078 |
| - NOTE_ON_079 |
| - NOTE_ON_080 |
| - NOTE_ON_081 |
| - NOTE_ON_082 |
| - NOTE_ON_083 |
| - NOTE_ON_084 |
| - NOTE_ON_085 |
| - NOTE_ON_086 |
| - NOTE_ON_087 |
| - NOTE_ON_088 |
| - NOTE_ON_089 |
| - NOTE_ON_090 |
| - NOTE_ON_091 |
| - NOTE_ON_092 |
| - NOTE_ON_093 |
| - NOTE_ON_094 |
| - NOTE_ON_095 |
| - NOTE_ON_096 |
| - NOTE_ON_097 |
| - NOTE_ON_098 |
| - NOTE_ON_099 |
| - NOTE_ON_100 |
| - NOTE_ON_101 |
| - NOTE_ON_102 |
| - NOTE_ON_103 |
| - NOTE_ON_104 |
| - NOTE_ON_105 |
| - NOTE_ON_106 |
| - NOTE_ON_107 |
| - NOTE_ON_108 |
| - NOTE_ON_INS_000_PITCH_021 |
| - NOTE_ON_INS_000_PITCH_022 |
| - NOTE_ON_INS_000_PITCH_023 |
| - NOTE_ON_INS_000_PITCH_024 |
| - NOTE_ON_INS_000_PITCH_025 |
| - NOTE_ON_INS_000_PITCH_026 |
| - NOTE_ON_INS_000_PITCH_027 |
| - NOTE_ON_INS_000_PITCH_028 |
| - NOTE_ON_INS_000_PITCH_029 |
| - NOTE_ON_INS_000_PITCH_030 |
| - NOTE_ON_INS_000_PITCH_031 |
| - NOTE_ON_INS_000_PITCH_032 |
| - NOTE_ON_INS_000_PITCH_033 |
| - NOTE_ON_INS_000_PITCH_034 |
| - NOTE_ON_INS_000_PITCH_035 |
| - NOTE_ON_INS_000_PITCH_036 |
| - NOTE_ON_INS_000_PITCH_037 |
| - NOTE_ON_INS_000_PITCH_038 |
| - NOTE_ON_INS_000_PITCH_039 |
| - NOTE_ON_INS_000_PITCH_040 |
| - NOTE_ON_INS_000_PITCH_041 |
| - NOTE_ON_INS_000_PITCH_042 |
| - NOTE_ON_INS_000_PITCH_043 |
| - NOTE_ON_INS_000_PITCH_044 |
| - NOTE_ON_INS_000_PITCH_045 |
| - NOTE_ON_INS_000_PITCH_046 |
| - NOTE_ON_INS_000_PITCH_047 |
| - NOTE_ON_INS_000_PITCH_048 |
| - NOTE_ON_INS_000_PITCH_049 |
| - NOTE_ON_INS_000_PITCH_050 |
| - NOTE_ON_INS_000_PITCH_051 |
| - NOTE_ON_INS_000_PITCH_052 |
| - NOTE_ON_INS_000_PITCH_053 |
| - NOTE_ON_INS_000_PITCH_054 |
| - NOTE_ON_INS_000_PITCH_055 |
| - NOTE_ON_INS_000_PITCH_056 |
| - NOTE_ON_INS_000_PITCH_057 |
| - NOTE_ON_INS_000_PITCH_058 |
| - NOTE_ON_INS_000_PITCH_059 |
| - NOTE_ON_INS_000_PITCH_060 |
| - NOTE_ON_INS_000_PITCH_061 |
| - NOTE_ON_INS_000_PITCH_062 |
| - NOTE_ON_INS_000_PITCH_063 |
| - NOTE_ON_INS_000_PITCH_064 |
| - NOTE_ON_INS_000_PITCH_065 |
| - NOTE_ON_INS_000_PITCH_066 |
| - NOTE_ON_INS_000_PITCH_067 |
| - NOTE_ON_INS_000_PITCH_068 |
| - NOTE_ON_INS_000_PITCH_069 |
| - NOTE_ON_INS_000_PITCH_070 |
| - NOTE_ON_INS_000_PITCH_071 |
| - NOTE_ON_INS_000_PITCH_072 |
| - NOTE_ON_INS_000_PITCH_073 |
| - NOTE_ON_INS_000_PITCH_074 |
| - NOTE_ON_INS_000_PITCH_075 |
| - NOTE_ON_INS_000_PITCH_076 |
| - NOTE_ON_INS_000_PITCH_077 |
| - NOTE_ON_INS_000_PITCH_078 |
| - NOTE_ON_INS_000_PITCH_079 |
| - NOTE_ON_INS_000_PITCH_080 |
| - NOTE_ON_INS_000_PITCH_081 |
| - NOTE_ON_INS_000_PITCH_082 |
| - NOTE_ON_INS_000_PITCH_083 |
| - NOTE_ON_INS_000_PITCH_084 |
| - NOTE_ON_INS_000_PITCH_085 |
| - NOTE_ON_INS_000_PITCH_086 |
| - NOTE_ON_INS_000_PITCH_087 |
| - NOTE_ON_INS_000_PITCH_088 |
| - NOTE_ON_INS_000_PITCH_089 |
| - NOTE_ON_INS_000_PITCH_090 |
| - NOTE_ON_INS_000_PITCH_091 |
| - NOTE_ON_INS_000_PITCH_092 |
| - NOTE_ON_INS_000_PITCH_093 |
| - NOTE_ON_INS_000_PITCH_094 |
| - NOTE_ON_INS_000_PITCH_095 |
| - NOTE_ON_INS_000_PITCH_096 |
| - NOTE_ON_INS_000_PITCH_097 |
| - NOTE_ON_INS_000_PITCH_098 |
| - NOTE_ON_INS_000_PITCH_099 |
| - NOTE_ON_INS_000_PITCH_100 |
| - NOTE_ON_INS_000_PITCH_101 |
| - NOTE_ON_INS_000_PITCH_102 |
| - NOTE_ON_INS_000_PITCH_103 |
| - NOTE_ON_INS_000_PITCH_104 |
| - NOTE_ON_INS_000_PITCH_105 |
| - NOTE_ON_INS_000_PITCH_106 |
| - NOTE_ON_INS_000_PITCH_107 |
| - NOTE_ON_INS_000_PITCH_108 |
| - T0.00 |
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| - <sos/eos> |
| init: xavier_uniform |
| input_size: null |
| ctc_conf: |
| dropout_rate: 0.0 |
| ctc_type: builtin |
| reduce: true |
| ignore_nan_grad: null |
| zero_infinity: true |
| brctc_risk_strategy: exp |
| brctc_group_strategy: end |
| brctc_risk_factor: 0.0 |
| joint_net_conf: null |
| use_preprocessor: true |
| use_lang_prompt: false |
| use_nlp_prompt: false |
| token_type: word |
| bpemodel: null |
| non_linguistic_symbols: null |
| cleaner: null |
| g2p: null |
| speech_volume_normalize: null |
| rir_scp: null |
| rir_apply_prob: 1.0 |
| noise_scp: null |
| noise_apply_prob: 1.0 |
| noise_db_range: '13_15' |
| short_noise_thres: 0.5 |
| aux_ctc_tasks: [] |
| frontend: default |
| frontend_conf: |
| fs: 16k |
| specaug: null |
| specaug_conf: {} |
| normalize: utterance_mvn |
| normalize_conf: {} |
| model: espnet |
| model_conf: |
| ctc_weight: 0.0 |
| lsm_weight: 0.0 |
| length_normalized_loss: false |
| preencoder: null |
| preencoder_conf: {} |
| encoder: transformer |
| encoder_conf: |
| output_size: 512 |
| attention_heads: 8 |
| linear_units: 2048 |
| num_blocks: 4 |
| dropout_rate: 0.1 |
| positional_dropout_rate: 0.1 |
| attention_dropout_rate: 0.0 |
| input_layer: conv2d2 |
| normalize_before: true |
| postencoder: null |
| postencoder_conf: {} |
| decoder: transformer |
| decoder_conf: |
| attention_heads: 8 |
| linear_units: 2048 |
| num_blocks: 2 |
| dropout_rate: 0.1 |
| positional_dropout_rate: 0.1 |
| self_attention_dropout_rate: 0.0 |
| src_attention_dropout_rate: 0.0 |
| preprocessor: music |
| preprocessor_conf: {} |
| required: |
| - output_dir |
| - token_list |
| version: '202511' |
| distributed: false |
| ``` |
| |
| </details> |
|
|
|
|
|
|
| ### Citing ESPnet |
|
|
| ```BibTex |
| @inproceedings{watanabe2018espnet, |
| 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}, |
| title={{ESPnet}: End-to-End Speech Processing Toolkit}, |
| year={2018}, |
| booktitle={Proceedings of Interspeech}, |
| pages={2207--2211}, |
| doi={10.21437/Interspeech.2018-1456}, |
| url={http://dx.doi.org/10.21437/Interspeech.2018-1456} |
| } |
| |
| |
| |
| |
| |
| |
| ``` |
|
|
| or arXiv: |
|
|
| ```bibtex |
| @misc{watanabe2018espnet, |
| title={ESPnet: End-to-End Speech Processing Toolkit}, |
| 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}, |
| year={2018}, |
| eprint={1804.00015}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL} |
| } |
| ``` |
|
|
