Update model

README.md

@@ -0,0 +1,445 @@
+---
+tags:
+- espnet
+- audio
+- automatic-speech-recognition
+language: noinfo
+datasets:
+- mr_openslr64
+license: cc-by-4.0
+---
+
+## ESPnet2 ASR model 
+
+### `espnet/marathi_openslr64`
+
+This model was trained by Sujay Suresh Kumar using mr_openslr64 recipe in [espnet](https://github.com/espnet/espnet/).
+
+### Demo: How to use in ESPnet2
+
+```bash
+cd espnet
+git checkout 91325a1e58ca0b13494b94bf79b186b095fe0b58
+pip install -e .
+cd egs2/mr_openslr64/asr1
+./run.sh --skip_data_prep false --skip_train true --download_model espnet/marathi_openslr64
+```
+
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Mon Mar 21 16:06:03 UTC 2022`
+- python version: `3.9.7 (default, Sep 16 2021, 13:09:58)  [GCC 7.5.0]`
+- espnet version: `espnet 0.10.7a1`
+- pytorch version: `pytorch 1.11.0+cu102`
+- Git hash: `91325a1e58ca0b13494b94bf79b186b095fe0b58`
+  - Commit date: `Mon Mar 21 00:40:52 2022 +0000`
+
+## asr_train_asr_conformer_xlsr_raw_bpe150_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|3625|72.9|22.5|4.7|1.7|28.9|88.6|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|20557|91.4|3.1|5.5|1.9|10.5|88.6|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|13562|86.5|6.3|7.1|1.4|14.9|88.6|
+
+## ASR config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_asr_conformer_xlsr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_conformer_xlsr_raw_bpe150_sp
+ngpu: 1
+seed: 0
+num_workers: 1
+num_att_plot: 3
+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
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 60
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+nbest_averaging_interval: 0
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 3
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_matplotlib: true
+use_tensorboard: true
+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:
+- frontend.upstream
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 10000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_bpe150_sp/train/speech_shape
+- exp/asr_stats_raw_bpe150_sp/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_bpe150_sp/valid/speech_shape
+- exp/asr_stats_raw_bpe150_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/marathi_train_sp/wav.scp
+    - speech
+    - sound
+-   - dump/raw/marathi_train_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/marathi_dev/wav.scp
+    - speech
+    - sound
+-   - dump/raw/marathi_dev/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0005
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 20000
+token_list:
+- <blank>
+- <unk>
+- ▁
+- ा
+- ी
+- े
+- त
+- र
+- ं
+- न
+- क
+- ्
+- व
+- ि
+- ल
+- ▁म
+- स
+- ो
+- श
+- द
+- च
+- म
+- ▁अ
+- ▁आ
+- ण
+- ु
+- ला
+- ह
+- ▁आहे
+- य
+- ▁स
+- ग
+- ▁ह
+- ्या
+- चा
+- ▁प
+- ड
+- ▁क
+- प
+- ट
+- ▁ब
+- ज
+- र्
+- ्र
+- ▁?
+- ▁ज
+- ब
+- ून
+- वा
+- ▁एक
+- ▁या
+- ळ
+- ात
+- ख
+- ध
+- ▁ति
+- ठ
+- ल्या
+- ले
+- ू
+- ▁तुम्हाला
+- ां
+- ार
+- घ
+- ची
+- ▁अस
+- थ
+- ▁का
+- ने
+- णि
+- ॅ
+- ▁त
+- ▁परवा
+- ▁ते
+- ली
+- ▁गेल
+- ळा
+- ष
+- ▁कर
+- .
+- च्या
+- ▁न
+- वर
+- ▁त्या
+- ▁प्र
+- ▁करू
+- ▁ग
+- ्ट
+- ई
+- झ
+- ▁फ
+- ाय
+- क्ष
+- ▁काय
+- पूर
+- ▁होती
+- मध
+- ▁तिथ
+- ▁काही
+- ए
+- ▁वि
+- ▁���ोन
+- ▁महिन्या
+- व्हा
+- तील
+- जार
+- ▁नाही
+- ँ
+- ▁पुत
+- ॉ
+- ▁झाला
+- ▁दिसल
+- ▁साल
+- ▁रस्त्यावर
+- स्त
+- जवळ
+- न्म
+- मध्य
+- ऊ
+- ▁इथे
+- ▁तुमच
+- ▁शकते
+- मान
+- ▁उद्
+- फ
+- ै
+- ढ
+- ','
+- इ
+- ौ
+- ‍
+- ृ
+- ओ
+- ः
+- ॲ
+- आ
+- '-'
+- ञ
+- औ
+- '!'
+- ऑ
+- ऱ
+- ऐ
+- छ
+- उ
+- '?'
+- भ
+- अ
+- ऋ
+- <sos/eos>
+init: xavier_uniform
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+joint_net_conf: null
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/token_list/bpe_unigram150/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'
+frontend: s3prl
+frontend_conf:
+    frontend_conf:
+        upstream: wav2vec2_xlsr
+    download_dir: ./hub
+    multilayer_feature: true
+    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
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+model: espnet
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+    extract_feats_in_collect_stats: false
+preencoder: linear
+preencoder_conf:
+    input_size: 1024
+    output_size: 80
+encoder: conformer
+encoder_conf:
+    output_size: 512
+    attention_heads: 4
+    linear_units: 1024
+    num_blocks: 3
+    dropout_rate: 0.3
+    positional_dropout_rate: 0.3
+    attention_dropout_rate: 0.3
+    input_layer: conv2d
+    normalize_before: true
+    macaron_style: false
+    pos_enc_layer_type: rel_pos
+    selfattention_layer_type: rel_selfattn
+    activation_type: swish
+    use_cnn_module: true
+    cnn_module_kernel: 17
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 1024
+    num_blocks: 3
+    dropout_rate: 0.3
+    positional_dropout_rate: 0.3
+    self_attention_dropout_rate: 0.3
+    src_attention_dropout_rate: 0.3
+required:
+- output_dir
+- token_list
+version: 0.10.7a1
+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}
+}
+```

data/token_list/bpe_unigram150/bpe.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:39b89f399f16c97fb4c27aa34b1c92bbb6990769002aac0eda38395195eac9a7
+size 239987

exp/asr_train_asr_conformer_xlsr_raw_bpe150_sp/RESULTS.md

@@ -0,0 +1,29 @@
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Mon Mar 21 16:06:03 UTC 2022`
+- python version: `3.9.7 (default, Sep 16 2021, 13:09:58)  [GCC 7.5.0]`
+- espnet version: `espnet 0.10.7a1`
+- pytorch version: `pytorch 1.11.0+cu102`
+- Git hash: `91325a1e58ca0b13494b94bf79b186b095fe0b58`
+  - Commit date: `Mon Mar 21 00:40:52 2022 +0000`
+
+## asr_train_asr_conformer_xlsr_raw_bpe150_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|3625|72.9|22.5|4.7|1.7|28.9|88.6|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|20557|91.4|3.1|5.5|1.9|10.5|88.6|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|13562|86.5|6.3|7.1|1.4|14.9|88.6|
+

exp/asr_train_asr_conformer_xlsr_raw_bpe150_sp/config.yaml

@@ -0,0 +1,348 @@
+config: conf/tuning/train_asr_conformer_xlsr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_conformer_xlsr_raw_bpe150_sp
+ngpu: 1
+seed: 0
+num_workers: 1
+num_att_plot: 3
+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
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 60
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+nbest_averaging_interval: 0
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 3
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_matplotlib: true
+use_tensorboard: true
+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:
+- frontend.upstream
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 10000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_bpe150_sp/train/speech_shape
+- exp/asr_stats_raw_bpe150_sp/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_bpe150_sp/valid/speech_shape
+- exp/asr_stats_raw_bpe150_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/marathi_train_sp/wav.scp
+    - speech
+    - sound
+-   - dump/raw/marathi_train_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/marathi_dev/wav.scp
+    - speech
+    - sound
+-   - dump/raw/marathi_dev/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0005
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 20000
+token_list:
+- <blank>
+- <unk>
+- ▁
+- ा
+- ी
+- े
+- त
+- र
+- ं
+- न
+- क
+- ्
+- व
+- ि
+- ल
+- ▁म
+- स
+- ो
+- श
+- द
+- च
+- म
+- ▁अ
+- ▁आ
+- ण
+- ु
+- ला
+- ह
+- ▁आहे
+- य
+- ▁स
+- ग
+- ▁ह
+- ्या
+- चा
+- ▁प
+- ड
+- ▁क
+- प
+- ट
+- ▁ब
+- ज
+- र्
+- ्र
+- ▁?
+- ▁ज
+- ब
+- ून
+- वा
+- ▁एक
+- ▁या
+- ळ
+- ात
+- ख
+- ध
+- ▁ति
+- ठ
+- ल्या
+- ले
+- ू
+- ▁तुम्हाला
+- ां
+- ार
+- घ
+- ची
+- ▁अस
+- थ
+- ▁का
+- ने
+- णि
+- ॅ
+- ▁त
+- ▁परवा
+- ▁ते
+- ली
+- ▁गेल
+- ळा
+- ष
+- ▁कर
+- .
+- च्या
+- ▁न
+- वर
+- ▁त्या
+- ▁प्र
+- ▁करू
+- ▁ग
+- ्ट
+- ई
+- झ
+- ▁फ
+- ाय
+- क्ष
+- ▁काय
+- पूर
+- ▁होती
+- मध
+- ▁तिथ
+- ▁काही
+- ए
+- ▁वि
+- ▁दोन
+- ▁महिन्या
+- व्हा
+- तील
+- जार
+- ▁नाही
+- ँ
+- ▁पुत
+- ॉ
+- ▁झाला
+- ▁दिसल
+- ▁साल
+- ▁रस्त्यावर
+- स्त
+- जवळ
+- न्म
+- मध्य
+- ऊ
+- ▁इथे
+- ▁तुमच
+- ▁शकते
+- मान
+- ▁उद्
+- फ
+- ै
+- ढ
+- ','
+- इ
+- ौ
+- ‍
+- ृ
+- ओ
+- ः
+- ॲ
+- आ
+- '-'
+- ञ
+- औ
+- '!'
+- ऑ
+- ऱ
+- ऐ
+- छ
+- उ
+- '?'
+- भ
+- अ
+- ऋ
+- <sos/eos>
+init: xavier_uniform
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+joint_net_conf: null
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/token_list/bpe_unigram150/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'
+frontend: s3prl
+frontend_conf:
+    frontend_conf:
+        upstream: wav2vec2_xlsr
+    download_dir: ./hub
+    multilayer_feature: true
+    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
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+model: espnet
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+    extract_feats_in_collect_stats: false
+preencoder: linear
+preencoder_conf:
+    input_size: 1024
+    output_size: 80
+encoder: conformer
+encoder_conf:
+    output_size: 512
+    attention_heads: 4
+    linear_units: 1024
+    num_blocks: 3
+    dropout_rate: 0.3
+    positional_dropout_rate: 0.3
+    attention_dropout_rate: 0.3
+    input_layer: conv2d
+    normalize_before: true
+    macaron_style: false
+    pos_enc_layer_type: rel_pos
+    selfattention_layer_type: rel_selfattn
+    activation_type: swish
+    use_cnn_module: true
+    cnn_module_kernel: 17
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 1024
+    num_blocks: 3
+    dropout_rate: 0.3
+    positional_dropout_rate: 0.3
+    self_attention_dropout_rate: 0.3
+    src_attention_dropout_rate: 0.3
+required:
+- output_dir
+- token_list
+version: 0.10.7a1
+distributed: false

exp/asr_train_asr_conformer_xlsr_raw_bpe150_sp/valid.acc.ave_5best.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5113c30441e6ce8d8d21f76fea64d3381066f8736e94c85a0f6393746c8df99b
+size 1376313691

meta.yaml

@@ -0,0 +1,8 @@
+espnet: 0.10.7a1
+files:
+  asr_model_file: exp/asr_train_asr_conformer_xlsr_raw_bpe150_sp/valid.acc.ave_5best.pth
+python: "3.9.7 (default, Sep 16 2021, 13:09:58) \n[GCC 7.5.0]"
+timestamp: 1647879711.223404
+torch: 1.11.0+cu102
+yaml_files:
+  asr_train_config: exp/asr_train_asr_conformer_xlsr_raw_bpe150_sp/config.yaml