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Improving Communication of Visual Signals by Text-to-Speech Software

  • Robert F. LorchJr.
  • Julie Lemarié
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8011)

Abstract

Printed signals are well-documented aids to reading and memory for expository text. Despite their usefulness, many TTS applications fail to adequately communicate signaling. A theoretical framework called “SARA” provides an analysis of printed signals that identifies what specific information should be rendered in order to preserve the signaling function. Further, SARA identifies two important criteria – the availability criterion and the accessibility criterion – that should help guide the evaluation of alternative auditory renderings of signals.

Keywords

Visual Signal Information Function Text Processing Verbal Label Expository Text 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Robert F. LorchJr.
    • 1
  • Julie Lemarié
    • 2
  1. 1.University of KentuckyLexingtonUSA
  2. 2.CLLE-CNRSUniversité de Toulouse - Le MirailToulouseFrance

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