Robust Prediction of Punctuation and Truecasing for Medical ASR

WS 2020 Monica SunkaraSrikanth RonankiKalpit DixitSravan BodapatiKatrin Kirchhoff

Automatic speech recognition (ASR) systems in the medical domain that focus on transcribing clinical dictations and doctor-patient conversations often pose many challenges due to the complexity of the domain. ASR output typically undergoes automatic punctuation to enable users to speak naturally, without having to vocalise awkward and explicit punctuation commands, such as "period", "add comma" or "exclamation point", while truecasing enhances user readability and improves the performance of downstream NLP tasks... (read more)

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