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Visualizing Voice Characteristics with Type Design in Closed Captions for Arabic

  • Tim Schlippe
  • , Shaimaa Alessai
  • , Ghanimeh El-Taweel
  • , Matthias Wolfel
  • , Wajdi Zaghouani
  • IU International University of Applied Sciences
  • Hamad bin Khalifa University
  • One Eighty Degrees
  • University of Applied Sciences Karlsruhe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Diversification of fonts in video captions based on the voice characteristics, namely loudness, speed and pauses, can affect the viewer receiving the content. This study evaluates a new method, WaveFont, which visualizes the voice characteristics for captions in an intuitive way. The study was specifically designed to test captions, which aims to add a new experience for Arabic viewers. The results indicate that our visualization is comprehensible and acceptable and provides significant added value-for hearing-impaired and non-hearing impaired participants: Significantly more participants stated that WaveFont improves their watching experience more than standard captions.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Cyberworlds, CW 2020
EditorsAlexei Sourin, Christophe Charier, Christophe Rosenberger, Olga Sourina
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages196-203
Number of pages8
ISBN (Electronic)9781728164977
DOIs
Publication statusPublished - Sept 2020
Externally publishedYes
Event19th International Conference on Cyberworlds, CW 2020 - Virtual, Caen, France
Duration: 29 Sept 20201 Oct 2020

Publication series

NameProceedings - 2020 International Conference on Cyberworlds, CW 2020

Conference

Conference19th International Conference on Cyberworlds, CW 2020
Country/TerritoryFrance
CityVirtual, Caen
Period29/09/201/10/20

Keywords

  • Arabic
  • accessibility
  • closed captions
  • responsive type
  • speech processing
  • subtitles
  • type design
  • typography

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