Article

GSTF Journal on Computing (JoC)

, 3:45

First online:

Open Access This content is freely available online to anyone, anywhere at any time.

Music Training Interface for Visually Impaired through a Novel Approach to Optical Music Recognition

  • Dawpadee B. KiriellaAffiliated withUniversity of Colombo School of Computing (UCSC)
  • , Shyama C. KumariAffiliated withUniversity of Colombo School of Computing (UCSC)
  • , Kavindu C. RanasingheAffiliated withUniversity of Colombo School of Computing (UCSC)
  • , Lakshman JayaratneAffiliated withUniversity of Colombo

Abstract

Some inherited barriers which limits the human abilities can be surprisingly win through technology. This research focuses on defining a more reliable and a controllable interface for visually impaired people to read and study eastern music notations which are widely available in printed format. One of another concept behind was that differently-abled people should be assisted in a way which they can proceed interested tasks in an independent way. The research provide means to continue on researching the validity of using a controllable auditory interface instead using Braille music scripts converted with the help of 3rd parties. The research further summarizes the requirements aroused by the relevant users, design considerations, evaluation results on user feedbacks of proposed interface.

Keywords-

visually impaired Eastern music music score/notation singing synthesizing adaptive music score trainer profile based approach optical music recognition (OMR) Sri Lankan