Abstract: Error correction (EC) models play a crucial role in refining Automatic Speech Recognition (ASR) transcriptions, enhancing the readability and quality of ...
Abstract: Many datasets suffer from errors, rendering data cleaning, the process of rectifying these issues, very time-consuming. The most commonly studied errors encompass inaccuracies in data values ...
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