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Update hyperparams and citations

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  1. README.md +29 -3
  2. hyperparams.yaml +5 -4
README.md CHANGED
@@ -27,9 +27,9 @@ SpeechBrain. For a better experience, we encourage you to learn more about
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  [SpeechBrain](https://speechbrain.github.io).
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  The performance of the model is the following:
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- | Release | eval clean CER | eval other CER | GPUs |
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- |:-------------:|:--------------:|:--------------:|:--------:|
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- | 09-05-21 | 7.86 | 8.93 | 6xA100 80GB |
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  ## Pipeline description
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@@ -105,4 +105,30 @@ Please, cite SpeechBrain if you use it for your research or business.
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  primaryClass={eess.AS},
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  note={arXiv:2106.04624}
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  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  [SpeechBrain](https://speechbrain.github.io).
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  The performance of the model is the following:
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+ | Release | eval clean CER | eval other CER | GPUs |
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+ | :------: | :------------: | :------------: | :---------: |
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+ | 09-05-21 | 7.48% | 8.38% | 6xA100 80GB |
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  ## Pipeline description
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  primaryClass={eess.AS},
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  note={arXiv:2106.04624}
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  }
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+ ```
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+
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+ # Citing the model
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+ ```bibtex
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+ @misc{returnzero,
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+ title = {ReturnZero Conformer Korean ASR model},
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+ author = {Dongwon Kim and Dongwoo Kim and Roh Jeongkyu},
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+ year = {2021},
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+ howpublished = {\url{https://huggingface.co/ddwkim/asr-conformer-transformerlm-ksponspeech}},
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+ }
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+ ```
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+
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+ # Citing KsponSpeech dataset
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+ ```bibtex
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+ @Article{app10196936,
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+ AUTHOR = {Bang, Jeong-Uk and Yun, Seung and Kim, Seung-Hi and Choi, Mu-Yeol and Lee, Min-Kyu and Kim, Yeo-Jeong and Kim, Dong-Hyun and Park, Jun and Lee, Young-Jik and Kim, Sang-Hun},
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+ TITLE = {KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition},
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+ JOURNAL = {Applied Sciences},
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+ VOLUME = {10},
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+ YEAR = {2020},
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+ NUMBER = {19},
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+ ARTICLE-NUMBER = {6936},
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+ URL = {https://www.mdpi.com/2076-3417/10/19/6936},
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+ ISSN = {2076-3417},
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+ DOI = {10.3390/app10196936}
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+ }
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  ```
hyperparams.yaml CHANGED
@@ -5,7 +5,8 @@
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  # Tokens: unigram
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  # losses: CTC + KLdiv (Label Smoothing loss)
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  # Training: KsponSpeech 965.2h
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- # Authors: Dongwon Kim, Dongwoo Kim
 
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  # ############################################################################
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  # Seed needs to be set at top of yaml, before objects with parameters are made
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@@ -40,7 +41,7 @@ max_decode_ratio: 1.0
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  valid_search_interval: 10
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  valid_beam_size: 10
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  test_beam_size: 60
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- lm_weight: 0.60
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  ctc_weight_decode: 0.40
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  ############################## models ################################
@@ -105,8 +106,8 @@ decoder: !new:speechbrain.decoders.S2STransformerBeamSearch
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  ctc_weight: !ref <ctc_weight_decode>
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  lm_weight: !ref <lm_weight>
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  lm_modules: !ref <lm_model>
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- temperature: 1.15
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- temperature_lm: 1.15
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  using_eos_threshold: False
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  length_normalization: True
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  # Tokens: unigram
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  # losses: CTC + KLdiv (Label Smoothing loss)
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  # Training: KsponSpeech 965.2h
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+ # Based on the works of: Jianyuan Zhong, Titouan Parcollet 2021
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+ # Authors: Dongwon Kim, Dongwoo Kim 2021
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  # ############################################################################
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  # Seed needs to be set at top of yaml, before objects with parameters are made
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  valid_search_interval: 10
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  valid_beam_size: 10
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  test_beam_size: 60
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+ lm_weight: 0.20
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  ctc_weight_decode: 0.40
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  ############################## models ################################
 
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  ctc_weight: !ref <ctc_weight_decode>
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  lm_weight: !ref <lm_weight>
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  lm_modules: !ref <lm_model>
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+ temperature: 1.25
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+ temperature_lm: 1.25
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  using_eos_threshold: False
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  length_normalization: True
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