Towards Automatic Captioning of University Lectures for French students who are Deaf

Abstract

Access to higher education of Deaf students is below the national average. Recently, there has been a growing number of applications for the automatic transcription of speech, which claim to make everyday speech more accessible to people who are Deaf or Hard-of-Hearing but we have very little data on how they actually deal with captions. In this paper, we describe the MANES project, whose long-term goal is to assess captioning solution for Deaf students’ development of academic literacy. We present the first technical results of a real-time system to make course captioning suitable for the target audience.