ABSTRACT
Computers increasingly are prevalent in the classroom, with student laptops becoming the norm, yet some beneficial uses of this widespread technology are being overlooked. Speech recognition software is maturing, and possesses the potential to provide real-time note taking assistance in the classroom, particularly for deaf and hard of hearing students. This paper reports on a practical, portable and readily deployed application that provides a cost-effective, automatic transcription system with the goal of making computer science lectures inclusive of deaf and hard of hearing students. The design of the system is described, some specific technology choices and implementation approaches are discussed, and results of two phases of an in-class evaluation of the system are analyzed. Ideas for student research projects that could extend and enhance the system also are proposed.
- J. Blackorby, R. Cameto, A. Lewis and K. Hebbeler. Study of persons with disabilities in science, mathematics, engineering and technology. SRI International, Menlo Park, CA, 1997.Google Scholar
- K. Bain, S. Basson and M. Wald. Speech recognition in university classrooms. Procs. of the Fifth International ACM SIGCAPH Conference on Assistive Technologies, ACM Press, pp. 192--196, 2002. Google ScholarDigital Library
- K. Bain, S. Basson, A. Faisman and D. Kanevsky. Accessibility, transcription, and access everywhere. IBM Systems Journal, 2005, Vol. 44, No. 3, pp. 589--603, 2005. Google ScholarDigital Library
- R. Cohen, A. Fairley, D. Gerry and G. Lima. Accessibility in introductory computer science. Procs. of the 36th SIGCSE Technical Symposium on Computer Science Education, pp. 17--21, 2005. Google ScholarDigital Library
- C. Davis. Automatic speech recognition and access: 20 years, 20 months, or tomorrow? Hearing Loss, 2001, 22(4), pp. 11--14, 2001.Google Scholar
- A. Hede. Student reaction to speech recognition technology in lectures. In S. McNamara and E. Stacey (Eds.), Untangling the Web: Establishing Learning Links. Procs. of the Australian Society for Educational Technology (ASET) Conference, Melbourne, July 2002.Google Scholar
- R. Kheir and T. Way. Improving speech recognition to assist real-time classroom note taking. Rehabilitation Engineering Society of North America (RESNA). Conference, Atlanta, USA, June 2006.Google Scholar
- Liberated Learning Project. Coordinated by Saint Mary's University, Halifax, Canada, online at http://liberatedlearning.com, accessed Dec. 18, 2006.Google Scholar
- R. Stuckless. Recognition means more than just getting the words right: Beyond accuracy to readability. Speech Technology, Oct./Nov. 1999, pp. 30--35, 1999.Google Scholar
- M. Wald. Hearing disability and technology. Access All Areas: disability, technology and learning, JISC TechDis and ALT, pp. 19--23, 2002.Google Scholar
- M. Wald and K. Bain. Using automatic speech recognition to assist communication and learning. Procs. of the 11th International Conference on Human-Computer Interaction, Las Vegas, 2005.Google Scholar
Index Terms
- Inclusion of deaf students in computer science classes using real-time speech transcription
Recommendations
Inclusion of deaf students in computer science classes using real-time speech transcription
Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education (ITiCSE'07)Computers increasingly are prevalent in the classroom, with student laptops becoming the norm, yet some beneficial uses of this widespread technology are being overlooked. Speech recognition software is maturing, and possesses the potential to provide ...
Assistive gamification and speech recognition E-tutor system for speech impaired students
ICIGP '19: Proceedings of the 2nd International Conference on Image and Graphics ProcessingIn a single school year, 5,857 young Filipino students have been found to suffer from evident speech or language impairments. The Philippines has this number of children, all of whom experience a great disadvantage in learning and communication, both of ...
A Case Study About Usability, User Experience and Accessibility Problems of Deaf Users with Assistive Technologies
Universal Access in Human-Computer Interaction. Applications and PracticeAbstractInteraction with mobile devices allows users to have advantages such as flexibility, mobility, and wireless communication. However, challenges have emerged in this interaction context, due to the smaller size of its screens, the new usage ...
Comments