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Add BTC paper link

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Dongji Gao 2023-09-19 10:36:44 -04:00 committed by GitHub
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egs/librispeech/WSASR/README.md
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@ -1,7 +1,7 @@
# Introduction
This is a weakly supervised ASR recipe for the LibriSpeech (clean 100 hours) dataset. We train a
conformer model using Bypass Temporal Classification (BTC)/Omni-temporal Classification (OTC) with transcripts with synthetic errors. In this README, we will describe
conformer model using [Bypass Temporal Classification](https://arxiv.org/pdf/2306.01031.pdf) (BTC)/Omni-temporal Classification (OTC) with transcripts with synthetic errors. In this README, we will describe
the task and the BTC/OTC training process.
Note that OTC is an extension of BTC and supports all BTC functions. Therefore, in the following, we only describe OTC.
@ -130,6 +130,8 @@ export CUDA_VISIBLE_DEVICES="0"
--lm-dir "${lm_dir}" \
--otc-token "${otc_token}"
```
### Results (ctc-greedy-search)
## Citations
```