Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers
Akhter Al Amin, Saad Hassan, Matt Huenerfauth, Cecilia O. Alm · 2023 · Proceedings of the 20th International Web for All Conference (W4A)
This paper investigates how to model word importance in conversational transcripts to improve live captioning quality for Deaf and hard of hearing (DHH) viewers. Live captions generated by automatic speech recognition (ASR) systems inevitably contain errors, but not all errors…
live captioning · deaf and hard of hearing · automatic speech recognition · word importance · natural language processing