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Add BTC paper link
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# Introduction
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# Introduction
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This is a weakly supervised ASR recipe for the LibriSpeech (clean 100 hours) dataset. We train a
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This is a weakly supervised ASR recipe for the LibriSpeech (clean 100 hours) dataset. We train a
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conformer model using Bypass Temporal Classification (BTC)/Omni-temporal Classification (OTC) with transcripts with synthetic errors. In this README, we will describe
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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
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the task and the BTC/OTC training process.
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the task and the BTC/OTC training process.
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Note that OTC is an extension of BTC and supports all BTC functions. Therefore, in the following, we only describe OTC.
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Note that OTC is an extension of BTC and supports all BTC functions. Therefore, in the following, we only describe OTC.
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--lm-dir "${lm_dir}" \
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--lm-dir "${lm_dir}" \
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--otc-token "${otc_token}"
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--otc-token "${otc_token}"
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```
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```
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### Results (ctc-greedy-search)
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## Citations
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## Citations
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```
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```
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