Predicting the Understandability of Imperfect English Captions for People Who Are Deaf or Hard of Hearing
Sushant Kafle, Matt Huenerfauth · 2019 · ACM Transactions on Accessible Computing (TACCESS)
This paper tackles a fundamental measurement problem in ASR-based captioning for Deaf and Hard-of-Hearing (DHH) users: the standard Word Error Rate (WER) metric has little correlation with how DHH users actually perceive caption quality. WER treats all word errors as equally…
automatic speech recognition · captioning · deaf and hard of hearing · evaluation metrics · word error rate