Proposing Integration of Speech-Text recognition with animation education to support Deaf people

Authors

  • Abdulaziz Al Raisi Middle East College
  • Dr. Khoula Al Harthy Middle East College

Keywords:

speech-text recognition, cloud, teaching tool

Abstract

In Oman, the community needs to give more attention to deaf and hard-hearing people, specifically using American Sign Language (ASL). Yes, there are special condition schools that will host the anthem and teach them, but ASL people will not join the regular school and colleges. They will only attend standard classes and learn the lectures with ordinary people.   This study proposes the integration of speech-text recognition technology with animation education as a means of supporting deaf individuals. The use of animation as a teaching tool has proven effective in engaging and educating diverse learners. By integrating speech-text recognition, deaf students can access the audio component of animation education and fully participate in the learning experience. Through a pilot study, we demonstrated the feasibility and benefits of this approach by providing animation education to a group of deaf students using speech-text recognition technology. Results showed improved understanding and engagement in the material and increased confidence and communication skills. The proposed integration has the potential to improve access to education for deaf individuals and enhance the effectiveness of animation as a teaching tool for all learners.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References or Bibliography

Papastratis I, Chatzikonstantinou C, […] Daras PSensors (2021) 21(17)

Han W, Chan C, […] Pun KProceedings - IEEE International Symposium on Circuits and Systems (2006).

Matarneh R, Maksymova S, […] Belova NIOSR Journal of Computer Engineering (IOSR-JCE) (2017) 19(5).

Peter V, Paken J, Joseph Ljournals.co.za (2020) 67(1).

Kinkiri S, Melis W, Keates S The Second Medway Engineering Conference on Systems: Efficiency, Sustainability, and M. Chhaya K, Khanzode A, Sarode RInternational Journal of Library & Information Science (IJLIS) (2020) 9(1).

Dignum VLondon Review of Education (2021) 19(1).

Chakladar D, Kumar P, […] Kim BApplied Sciences (Switzerland) (2021) 11(8).

Brvl News. (2022, December 20). "What is AI and How Does it Work?" Brvl News.

Asmussen, C. B. (2019, October 19). Smart literature review: a practical topic modeling approach to exploratory literature review - Journal of Big Data. SpringerOpen.

Antoniou, N. (2022, December 15). Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks. arXiv.org.

Chapter 2 Flashcards by Andrea DiTullio | Brainscape. (n.d.).

Precisely, Inc. (2021, October 20). Modern Data Architecture with Legacy Data - How to Build One. Precisely

Lish, T. (n.d.). What Can Affect A Sensor's Accuracy

Gupta, S. (2022, December 7). AI vs. Machine Learning vs. Deep Learning: What's the Difference? Springboard Blog.

Jurafsky, D., & Martin, J. H. (2019). Speech and language processing (3rd ed.). Pearson.

Manning, C. D., Raghavan, P., & Schütze, H. (2019). Introduction to information retrieval (3rd ed.). Cambridge University Press.

Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. In Advances in neural information processing systems (pp. 3104-3112).

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standards and Technology.

Bourlard, H., & Huang, X. (2012). Connectionist speech recognition: A comprehensive foundation. Cambridge University Press.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.

Mitchell, T. M. (1997). Machine learning. McGraw-Hill.

Ozturk, O., & Kuntman, H. (2010). Field-programmable gate array (FPGA)-based designs for real-time image and video processing. In Field-Programmable Gate Array (FPGA) Based System Design (pp. 3-26). Springer, Boston, MA.

Bryson, J. (2020). Social and ethical considerations in technology development and deployment. In The Cambridge Handbook of Human-Computer Interaction (pp. 89–107). Cambridge University Press.

DevTeam.Space. (n.d.). What is an Agile Methodology? DevTeam.Space Blog.

Agile Alliance. (n.d.). What is Agile?

Published

05-31-2023

How to Cite

Al Raisi, A. ., & Al Harthy, K. . (2023). Proposing Integration of Speech-Text recognition with animation education to support Deaf people. Journal of Student Research. Retrieved from https://www.jsr.org/index.php/path/article/view/2336