• DocumentCode
    3735617
  • Title

    Development of an online subjective evaluation system for recorded speech of deaf and hard of hearing children

  • Author

    Attila K. Varga;L?szl? Czap

  • Author_Institution
    Department of Automation and Infocommunication, Institute of Electrical Engineering, Faculty of Mechanical Engineering and Informatics, University of Miskolc, Miskolc, Hungary
  • fYear
    2015
  • Firstpage
    455
  • Lastpage
    458
  • Abstract
    The aim of this paper is to present a web-based evaluation system developed as part of a research has been carried out in cooperation with University of Debrecen and University of Miskolc in the framework of the project TÁMOP-4.2.2.C-11/1/KONV (Social Renewal Operational Programme) called `Basic and Applied Research for Internet-based Speech Development of Deaf and Hard of Hearing People and for Objective Measurement of Their Progress´. The project is aimed at solving basic and applied research tasks to develop an application to support the speech teaching and understanding of deaf and hearing-impaired people more effectively than known methods. The idea of the project has come from an audio-visual transcoder for sound visualization developed at the University of Debrecen, and a three-dimensional head model for articulation presentation, called `talking head´ developed at the University of Miskolc. The most important aim of the project is to create a complex system to provide audio-visual speech recognition by visualization of images of speech and articulation, setting up an educational framework. In addition, the system has many other features (prosody display, automatic evaluation and knowledge-based systems implementation), which subsequently allow individual practice not only on computers but also on mobile devices. However, it is important to note that personal contribution of surdo-pedagogues can not be replaced, but can greatly support. The module performing the required audio-visual transcoding is language-independent, the talking head, moreover automatic qualification can be made language-independent by training new neural networks. For development of automatic qualification, the recorded speech samples has been required to be evaluated by surdo-pedagogues and lay students. The online evaluation system developed for this purpose is shown in this paper.
  • Keywords
    "Speech","Auditory system","Servers","Databases","Visualization","Acoustics","Qualifications"
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Infocommunications (CogInfoCom), 2015 6th IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CogInfoCom.2015.7390636
  • Filename
    7390636