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Update README.md
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@ -67,7 +67,7 @@ otc_token="<star>"
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```
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```
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This script adds the 'otc_token' ('\<star\>') and its corresponding sentence-piece ('▁\<star\>') to 'words.txt' and 'tokens.txt,' respectively. Additionally, it computes SSL features using the 'wav2vec2-base' model. (You can use GPU to accelerate feature extraction).
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This script adds the 'otc_token' ('\<star\>') and its corresponding sentence-piece ('▁\<star\>') to 'words.txt' and 'tokens.txt,' respectively. Additionally, it computes SSL features using the 'wav2vec2-base' model. (You can use GPU to accelerate feature extraction).
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### Making synthetic errors to the transcript [optional]
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### Making synthetic errors to the transcript (train-clean-100) [optional]
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```
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```
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sub_er=0.17
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sub_er=0.17
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ins_er=0.17
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@ -94,6 +94,7 @@ verbatim: -have- a [] [nice] day
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```
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```
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### Training
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### Training
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The training uses synthetic data based on the train-clean-100 subset.
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```
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```
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otc_lang_dir=data/lang_bpe_200
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otc_lang_dir=data/lang_bpe_200
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@ -195,10 +196,10 @@ export CUDA_VISIBLE_DEVICES="0"
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## Citations
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## Citations
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```
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```
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@article{gao2023bypass,
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@inproceedings{gao2023bypass,
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title={Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts},
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title={Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts},
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author={Gao, Dongji and Wiesner, Matthew and Xu, Hainan and Garcia, Leibny Paola and Povey, Daniel and Khudanpur, Sanjeev},
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author={Gao, Dongji and Wiesner, Matthew and Xu, Hainan and Garcia, Leibny Paola and Povey, Daniel and Khudanpur, Sanjeev},
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journal={arXiv preprint arXiv:2306.01031},
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booktitle={INTERSPEECH},
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year={2023}
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year={2023}
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}
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}
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```
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```
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