• DocumentCode
    3283183
  • Title

    Combining Augmented Reality and Speech Technologies to Help Deaf and Hard of Hearing People

  • Author

    Mirzaei, Mohammad Reza ; Ghorshi, Seyed ; Mortazavi, Mohammad

  • Author_Institution
    Sch. of Sci. & Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    28-31 May 2012
  • Firstpage
    174
  • Lastpage
    181
  • Abstract
    Augmented Reality (AR), Automatic Speech Recognition (ASR) and Text-to-Speech Synthesis (TTS) can be used to help people with disabilities. In this paper, we combine these technologies to make a new system for helping deaf people. This system can take the narrator´s speech and convert it into a readable text and show it directly on AR display. To improve the accuracy of the system, we use Audio-Visual Speech Recognition (AVSR) as a backup for the ASR engine in noisy environments. In addition, we use the TTS system to make our system more usable for deaf people. The results of testing the system show that its accuracy is over 85 percent on average in different places. Also, the result of a survey shows that more than 90 percent of deaf people on average are very interested in using our system as an assistant in portable devices for communication.
  • Keywords
    audio-visual systems; augmented reality; handicapped aids; speech recognition; speech synthesis; AR display; ASR engine; TTS system; audio visual speech recognition; augmented reality; automatic speech recognition; deaf people; narrator speech; noisy environment; portable device; readable text; speech technology; text to speech synthesis; Cameras; Engines; Hardware; Speech; Speech recognition; Switches; Testing; Audio-Visual Speech Recognition; Augmented Reality; Automatic Speech Recognition; Deaf People; Text-to-Speech Synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual and Augmented Reality (SVR), 2012 14th Symposium on
  • Conference_Location
    Rio Janiero
  • Print_ISBN
    978-1-4673-1929-4
  • Type

    conf

  • DOI
    10.1109/SVR.2012.10
  • Filename
    6297574