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@ -67,7 +67,7 @@ otc_token="<star>"
```
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).
### Making synthetic errors to the transcript [optional]
### Making synthetic errors to the transcript (train-clean-100) [optional]
```
sub_er=0.17
ins_er=0.17
@ -94,6 +94,7 @@ verbatim: -have- a [] [nice] day
```
### Training
The training uses synthetic data based on the train-clean-100 subset.
```
otc_lang_dir=data/lang_bpe_200
@ -195,10 +196,10 @@ export CUDA_VISIBLE_DEVICES="0"
## Citations
```
@article{gao2023bypass,
@inproceedings{gao2023bypass,
title={Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts},
author={Gao, Dongji and Wiesner, Matthew and Xu, Hainan and Garcia, Leibny Paola and Povey, Daniel and Khudanpur, Sanjeev},
journal={arXiv preprint arXiv:2306.01031},
booktitle={INTERSPEECH},
year={2023}
}
```