Work

Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings

Year: 2017

Type: conference-paper

Source: International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

DOI: 10.1145/3132525.3132541

Authors: Larwan Berke, Christopher Caulfield, Matt Huenerfauth

Institution: Rochester Institute of Technology

Language: English

Topic: Subtitles and Audiovisual Media

Subfield: Language and Linguistics

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: closed

Funder: Google

OpenAlex ID: W2765828580

FWCI: 51.35

Cites: 44

Cited by: 62

Related to: 10