Caption-occlusion severity judgments across live-television genres from deaf and hard-of-hearing viewers

Author:

Amin Akhter Al1,Hassan Saad1,Huenerfauth Matt1

Affiliation:

1. Rochester Institute of Technology

Funder

Department of Health and Human Services

Publisher

ACM

Reference47 articles.

1. Automatic genre identification for content-based video categorization

2. Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers

3. The severely to profoundly hearing-impaired population in the United States: prevalence estimates and demographics;Blanchfield Bonnie B.;Journal of the American Academy of Audiology,2001

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