• DocumentCode
    3057447
  • Title

    Computer-Aided Interpreter for Hearing and Speech Impaired

  • Author

    Suresh, Prashanth ; Vasudevan, Niraj ; Ananthanarayanan, Nilesh

  • Author_Institution
    Dept. of Electron. & Commun. Eng, Sri Venkateswara Coll. of Eng., Sriperumbudur, India
  • fYear
    2012
  • fDate
    24-26 July 2012
  • Firstpage
    248
  • Lastpage
    253
  • Abstract
    The difficulties faced by hearing and speech impaired people in communicating with others and among themselves can be easily overcome by building an assistive communication system. This real time communication system enables differently impaired people to communicate among themselves without an intermediate human translator. The proposed system is a potential human-computer and computer-human interaction for hearing and speech impaired people with normal people. This is achieved using Natural Voice processing and Digital Image Processing algorithms. The algorithm used, takes necessary precautions to combat a noisy environment and is particularly effective for human voice as it represents the speech in the Mel Cepstrum domain (B.P.Bogert, M.J.R.Healy, and J.W.Tukey-1963). A database is used to maintain the back-end of the system and efficient matching algorithms are employed. The system simulation has been done in MATLAB to build this community assistive digital communication system.
  • Keywords
    cepstral analysis; gesture recognition; handicapped aids; hearing; human computer interaction; image processing; signal representation; speech processing; vision defects; MATLAB; Mel cepstrum domain; assistive digital communication system; computer-aided interpreter; computer-human interaction; digital image processing algorithm; hand gesture; hearing impaired people; human-computer interaction; intermediate human translator; matching algorithm; natural voice processing; noisy environment; normal people; real time communication system; sign language gesture; speech impaired people; speech representation; system simulation; Algorithm design and analysis; Auditory system; Databases; Hidden Markov models; Noise; Speech; Speech recognition; Digital Signal Processing; Dynamic Time Warping Algorithm; Hidden Markov Modeling Algorithm; Image Processing; Mel frequency; Speaker Recognition System; Speech recognition; feature extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-1-4673-2640-7
  • Type

    conf

  • DOI
    10.1109/CICSyN.2012.53
  • Filename
    6274349