Liberated Learning: Accessibility through Speech Recognition
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e-learning and Speech Recognition

e-learning (on-line, virtual, computer-based, distance learning, etc ) presents many accessibility and usability challenges that could be addressed by Speech Recognition.

Accessible Video Podcast
  • Click "Message vidéo Keith Bain, Canada"
  • Requires Windows Media Player

The following examples show how typical e-learning content, such as audio only podcasts, basic slides, and simple html text documents, can be enhanced by Speech Recognition. In each example, Speech Recognition not only generated a text transcript, it also automatically synchronized the content into a more universally designed form.   Requires Internet Explorer.

Accessible MP3 Podcast - SR aligns automatically generated text with the original audio

Accessible Slides - SR takes an ordinary slide deck and adds important "speaker notes" by capturing the actual instructor's voice as he/she presents the information

Text to Speech - Speech technologies augment a plain text document with synthesized audio

For more information about how this technology works, visit our Technology Page


 

Saint Mary's University IBM University of the Sunshine Coast Purdue University Trent University Beijing University Massachusetts Institute of Technology and Artificial Intelligence Laboratory
University of Southampton Cambrian College Australian National University Messiah College Hiroshima University Cape Breton University Alexander Graham Bell Centre
Macquarie University logo
University of Ulm Charles Darwin University Alma Master Studiorum Università di Bologna Universitat Autonoma de Barcelona
UMASS Boston Logo
Landmark College
 

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