Publication:
Limitations of Standard Accessible Captioning of Sounds and Music for Deaf and Hard of Hearing People: An EEG Study

Loading...
Thumbnail Image

Advisors

Tutors

Editor

Publication date

Defense date

Journal Title

Journal ISSN

Volume Title

Publisher

Frontiers Media

publication.page.ispartofseries

Impact
Google Scholar
Export

Research Projects

Research Projects

Organizational Units

Journal Issue

To cite this item, use the following identifier: https://hdl.handle.net/10016/37796

Abstract

Captioning is the process of transcribing speech and acoustical information into text to help deaf and hard of hearing people accessing to the auditory track of audiovisual media. In addition to the verbal transcription, it includes information such as sound effects, speaker identification, or music tagging. However, it just takes into account a limited spectrum of the whole acoustic information available in the soundtrack, and hence, an important amount of emotional information is lost when attending just to the normative compliant captions. In this article, it is shown, by means of behavioral and EEG measurements, how emotional information related to sounds and music used by the creator in the audiovisual work is perceived differently by normal hearing group and hearing disabled group when applying standard captioning. Audio and captions activate similar processing areas, respectively, in each group, although not with the same intensity. Moreover, captions require higher activation of voluntary attentional circuits, as well as language-related areas. Captions transcribing musical information increase attentional activity, instead of emotional processing.

Note

Funder

Research project

Bibliographic citation

Revuelta, P., Ortiz, T., Lucía, M. J., Ruiz, B., & , Sánchez-Pena, J. M. (2020). Limitations of Standard Accessible Captioning of Sounds and Music for Deaf and Hard of Hearing People: An EEG Study. Frontiers in Integrative Neuroscience, 14.

Table of contents

Has version

Is version of

Related dataset

Related Publication

Is part of

Collections