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@ -5,3 +5,6 @@ conformer model using BTC/OTC with transcripts with synthetic errors. In this RE
the task and the BTC/OTC training process.
## Task
We propose BTC/OTC to directly train an ASR system leveraging weak supervision, i.e., speech with non-verbatim transcripts.
This is achieved by using a special token to model uncertainties (i.e., substitution errors, insertion errors, and deletion errors)
within the WFST framework during training.