add model files

README.md

@@ -0,0 +1,810 @@
+---
+tags:
+- espnet
+- audio
+- automatic-speech-recognition
+language: en
+datasets:
+- tedlium2
+license: cc-by-4.0
+---
+
+## ESPnet2 ASR model 
+
+### `pyf98/tedlium2_transducer_e_branchformer`
+
+This model was trained by Yifan Peng using tedlium2 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 478ba004e114e7862b05fb01112de7f7e1da3996
+pip install -e .
+cd egs2/tedlium2/asr1
+./run.sh --skip_data_prep false --skip_train true --download_model pyf98/tedlium2_transducer_e_branchformer
+```
+
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Thu Feb  9 01:29:33 CST 2023`
+- python version: `3.9.15 (main, Nov 24 2022, 14:31:59)  [GCC 11.2.0]`
+- espnet version: `espnet 202301`
+- pytorch version: `pytorch 1.13.1`
+- Git hash: `478ba004e114e7862b05fb01112de7f7e1da3996`
+  - Commit date: `Tue Feb 7 00:50:49 2023 +0000`
+
+## asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_transducer_asr_model_valid.loss.ave/dev|466|14671|93.4|4.3|2.3|1.0|7.6|71.7|
+|decode_asr_transducer_asr_model_valid.loss.ave/test|1155|27500|93.6|4.0|2.4|1.0|7.4|63.5|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_transducer_asr_model_valid.loss.ave/dev|466|78259|97.1|0.9|2.0|0.9|3.8|71.7|
+|decode_asr_transducer_asr_model_valid.loss.ave/test|1155|145066|97.1|0.9|2.1|0.9|3.9|63.5|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_transducer_asr_model_valid.loss.ave/dev|466|28296|94.7|3.1|2.3|0.8|6.2|71.7|
+|decode_asr_transducer_asr_model_valid.loss.ave/test|1155|52113|95.1|2.6|2.2|0.9|5.8|63.5|
+
+## ASR config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_asr_transducer_e_branchformer_e12.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp
+ngpu: 1
+seed: 2022
+num_workers: 6
+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: 45753
+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: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - loss
+    - min
+keep_nbest_models: 10
+nbest_averaging_interval: 0
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 5
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+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
+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: 10000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_bpe500_sp/train/speech_shape
+- exp/asr_stats_raw_en_bpe500_sp/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_en_bpe500_sp/valid/speech_shape
+- exp/asr_stats_raw_en_bpe500_sp/valid/text_shape.bpe
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 80000
+- 150
+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/train_sp/wav.scp
+    - speech
+    - kaldi_ark
+-   - dump/raw/train_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev/wav.scp
+    - speech
+    - kaldi_ark
+-   - dump/raw/dev/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+exclude_weight_decay: false
+exclude_weight_decay_conf: {}
+optim: adam
+optim_conf:
+    lr: 0.002
+    weight_decay: 1.0e-06
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 15000
+token_list:
+- <blank>
+- <unk>
+- s
+- ▁the
+- t
+- ▁a
+- ▁and
+- ▁to
+- d
+- e
+- ▁of
+- ''''
+- n
+- ing
+- ▁in
+- ▁i
+- ▁that
+- i
+- a
+- l
+- p
+- m
+- y
+- o
+- ▁it
+- ▁we
+- c
+- u
+- ▁you
+- ed
+- ▁
+- r
+- ▁is
+- re
+- ▁this
+- ar
+- g
+- ▁so
+- al
+- b
+- ▁s
+- or
+- ▁f
+- ▁c
+- in
+- k
+- f
+- ▁for
+- ic
+- er
+- le
+- ▁be
+- ▁do
+- ▁re
+- ve
+- ▁e
+- ▁w
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+- ly
+- h
+- ▁on
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+- ▁are
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+- an
+- ��what
+- ▁with
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+- w
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+- ▁but
+- ra
+- ce
+- ▁me
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+- ll
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+- 'on'
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+- th
+- ▁de
+- en
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+- il
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+- ch
+- at
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+- ▁mo
+- ter
+- ation
+- tion
+- ▁at
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+- ro
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+- te
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+- ▁con
+- ▁like
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+- ▁or
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+- el
+- ▁if
+- ▁from
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+- ▁co
+- ate
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+- ity
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+- de
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+- ge
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+- ▁k
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+- j
+- ical
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+- ther
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+- ▁new
+- ound
+- ig
+- ▁well
+- mo
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+- ▁na
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+- ▁different
+- ▁dr
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+- ful
+- ▁down
+- ated
+- ▁good
+- ▁tra
+- ▁around
+- ▁idea
+- ▁human
+- ous
+- ▁put
+- ▁through
+- ▁five
+- ▁why
+- ▁change
+- ▁real
+- ff
+- ible
+- ▁fact
+- ▁same
+- ▁jo
+- ▁live
+- ▁year
+- ▁problem
+- ▁ph
+- ▁four
+- ▁give
+- ▁big
+- ▁tell
+- ▁great
+- ▁try
+- ▁va
+- ▁ru
+- ▁system
+- ▁six
+- ▁plan
+- ▁place
+- ▁build
+- ▁called
+- ▁again
+- ▁point
+- ▁twenty
+- ▁percent
+- ▁nine
+- ▁find
+- ▁app
+- ▁after
+- ▁long
+- ▁eight
+- ▁imp
+- ▁gene
+- ▁design
+- ▁today
+- ▁should
+- ▁made
+- ious
+- ▁came
+- ▁learn
+- ▁last
+- ▁own
+- way
+- ▁turn
+- ▁seven
+- ▁high
+- ▁question
+- ▁person
+- ▁brain
+- ▁important
+- ▁another
+- ▁thought
+- ▁trans
+- ▁create
+- ness
+- ▁hu
+- ▁power
+- ▁act
+- land
+- ▁play
+- ▁sort
+- ▁old
+- ▁before
+- ▁course
+- ▁understand
+- ▁feel
+- ▁might
+- ▁each
+- ▁million
+- ▁better
+- ▁together
+- ▁ago
+- ▁example
+- ▁help
+- ▁story
+- ▁next
+- ▁hand
+- ▁school
+- ▁water
+- ▁develop
+- ▁technology
+- que
+- ▁second
+- ▁grow
+- ▁still
+- ▁cell
+- ▁believe
+- ▁number
+- ▁small
+- ▁between
+- qui
+- ▁data
+- ▁become
+- ▁america
+- ▁maybe
+- ▁space
+- ▁project
+- ▁organ
+- ▁vo
+- ▁children
+- ▁book
+- graph
+- ▁open
+- ▁fifty
+- ▁picture
+- ▁health
+- ▁thirty
+- ▁africa
+- ▁reason
+- ▁large
+- ▁hard
+- ▁computer
+- ▁always
+- ▁sense
+- ▁money
+- ▁women
+- ▁everything
+- ▁information
+- ▁country
+- ▁teach
+- ▁energy
+- ▁experience
+- ▁food
+- ▁process
+- qua
+- ▁interesting
+- ▁future
+- ▁science
+- q
+- '0'
+- '5'
+- '6'
+- '9'
+- '3'
+- '8'
+- '4'
+- N
+- A
+- '7'
+- S
+- G
+- F
+- R
+- L
+- U
+- E
+- T
+- H
+- _
+- B
+- D
+- J
+- M
+- ă
+- ō
+- ť
+- '2'
+- '-'
+- '1'
+- C
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: null
+    zero_infinity: true
+joint_net_conf:
+    joint_space_size: 320
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/en_token_list/bpe_unigram500/bpe.model
+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:
+    n_fft: 512
+    win_length: 400
+    hop_length: 160
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 27
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_ratio_range:
+    - 0.0
+    - 0.05
+    num_time_mask: 5
+normalize: global_mvn
+normalize_conf:
+    stats_file: exp/asr_stats_raw_en_bpe500_sp/train/feats_stats.npz
+model: espnet
+model_conf:
+    ctc_weight: 0.3
+    report_cer: false
+    report_wer: false
+preencoder: null
+preencoder_conf: {}
+encoder: e_branchformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    attention_layer_type: rel_selfattn
+    pos_enc_layer_type: rel_pos
+    rel_pos_type: latest
+    cgmlp_linear_units: 1024
+    cgmlp_conv_kernel: 31
+    use_linear_after_conv: false
+    gate_activation: identity
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.1
+    input_layer: conv2d
+    layer_drop_rate: 0.0
+    linear_units: 1024
+    positionwise_layer_type: linear
+    use_ffn: true
+    macaron_ffn: true
+    merge_conv_kernel: 31
+postencoder: null
+postencoder_conf: {}
+decoder: transducer
+decoder_conf:
+    rnn_type: lstm
+    num_layers: 1
+    hidden_size: 256
+    dropout: 0.1
+    dropout_embed: 0.2
+preprocessor: default
+preprocessor_conf: {}
+required:
+- output_dir
+- token_list
+version: '202301'
+distributed: true
+```
+
+</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}
+}
+```

data/en_token_list/bpe_unigram500/bpe.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca848c3a0b756847776bc5c8e8ae797ad73381cb4fe9db9109b3131e9416b5f6
+size 244853

exp/asr_stats_raw_en_bpe500_sp/train/feats_stats.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9aa2bdc65662202e277008f62275fef28e17e564fbcf6b759a4a169cdcfdbbd
+size 1402

exp/asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp/RESULTS.md

@@ -0,0 +1,32 @@
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Thu Feb  9 01:29:33 CST 2023`
+- python version: `3.9.15 (main, Nov 24 2022, 14:31:59)  [GCC 11.2.0]`
+- espnet version: `espnet 202301`
+- pytorch version: `pytorch 1.13.1`
+- Git hash: `478ba004e114e7862b05fb01112de7f7e1da3996`
+  - Commit date: `Tue Feb 7 00:50:49 2023 +0000`
+
+## asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_transducer_asr_model_valid.loss.ave/dev|466|14671|93.4|4.3|2.3|1.0|7.6|71.7|
+|decode_asr_transducer_asr_model_valid.loss.ave/test|1155|27500|93.6|4.0|2.4|1.0|7.4|63.5|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_transducer_asr_model_valid.loss.ave/dev|466|78259|97.1|0.9|2.0|0.9|3.8|71.7|
+|decode_asr_transducer_asr_model_valid.loss.ave/test|1155|145066|97.1|0.9|2.1|0.9|3.9|63.5|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_transducer_asr_model_valid.loss.ave/dev|466|28296|94.7|3.1|2.3|0.8|6.2|71.7|
+|decode_asr_transducer_asr_model_valid.loss.ave/test|1155|52113|95.1|2.6|2.2|0.9|5.8|63.5|
+

exp/asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp/config.yaml

@@ -0,0 +1,707 @@
+config: conf/tuning/train_asr_transducer_e_branchformer_e12.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp
+ngpu: 1
+seed: 2022
+num_workers: 6
+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: 45753
+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: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - loss
+    - min
+keep_nbest_models: 10
+nbest_averaging_interval: 0
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 5
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+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
+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: 10000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_bpe500_sp/train/speech_shape
+- exp/asr_stats_raw_en_bpe500_sp/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_en_bpe500_sp/valid/speech_shape
+- exp/asr_stats_raw_en_bpe500_sp/valid/text_shape.bpe
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 80000
+- 150
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
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+    - speech
+    - kaldi_ark
+-   - dump/raw/train_sp/text
+    - text
+    - text
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+    - speech
+    - kaldi_ark
+-   - dump/raw/dev/text
+    - text
+    - text
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+    reduce: true
+    ignore_nan_grad: null
+    zero_infinity: true
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+required:
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+version: '202301'
+distributed: true

exp/asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp/valid.loss.ave_10best.pth

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+size 105304833

meta.yaml

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+espnet: '202301'
+files:
+  asr_model_file: exp/asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp/valid.loss.ave_10best.pth
+python: "3.9.15 (main, Nov 24 2022, 14:31:59) \n[GCC 11.2.0]"
+timestamp: 1675927850.063237
+torch: 1.13.1
+yaml_files:
+  asr_train_config: exp/asr_train_asr_transducer_e_branchformer_e12_raw_en_bpe500_sp/config.yaml