Visualizing Voice Characteristics with Type Design in Closed Captions for Arabic

Tim Schlippe, Shaimaa Alessai, Ghanimeh El-Taweel, Matthias Wolfel, Wajdi Zaghouani

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

11 Citations (Scopus)

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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