Papers by Sushant Kafle

1 papers
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts (L18-1)

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Challenge: a project aims to create a system that uses automatic speech recognition (ASR) to produce real-time text captions of spoken English during in-person meetings with hearing individuals.
Approach: They propose to use automatic speech recognition to produce captions in real-time . they add word-importance annotations to a transcript of a conversational dialogue corpus .
Outcome: The proposed system would produce captions in real-time for people who are deaf or hard-of-hearing . the best performing model has an F-score of 0.60 in an ordinal 6-class word-importance classification task with an agreement (concordance correlation coefficient) of 0.89 with the human annotators.

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