Script Generation for Silent Speech in E-Learning-Reference-Cited by-同舟云学术

Script Generation for Silent Speech in E-Learning

Published:2024-06-03 Issue: Volume: Page:356-369
ISSN:2326-8905
Container-title:Advances in Educational Technologies and Instructional Design
language:
Short-container-title:

Author:

Hossain S. M. Emdad¹,Khairy Sallam¹^ORCID,Soosaimanickm Arockiasamy¹,Ramadan Rabie¹^ORCID

Affiliation:

1. University of Nizwa, Oman

Abstract

This chapter is all about an advanced system by which the speech without sound will be recognized, and the equivalent script will be generated automatically. All the relevant stakeholders, i.e. students, instructors, then collect script and study insight. To develop the proposed system, it is planned to use one of the most prominent and popular datasets called synthetic-speech-commands-dataset-SSCD, which is freely available. The outcome of this research will provide an opportunity to develop community/reason-based database which will be a potential contribution in the field of conventional education, AI based education and bioinformatics for the research community.

Publisher

IGI Global

Reference67 articles.

1. Achmad & Fadillah, L. (2015). Lip Motion Pattern Recognition for Indonesian Syllable Pronunciation Utilizing Hidden Markov Model Method. Telkomnika (Telecommunication Computing Electronics and Control), 13(1), 173–180.

2. Afouras, T., Chung, J. S., Senior, A., Vinyals, O., & Zisserman, A. (2018). Deep Audio-Visual Speech Recognition. arXiv, 1809.02108v2. https://arxiv.org/pdf/1809.02108.pdf

3. AhmadB. A.HassanatA. (n.d.). Visual Speech Recognition. IT Department, Mu’tah University. Speech and Language Technologies. https://www.intechopen.com/chapters/38380

4. Improved speaker independent lip reading using speaker adaptive training and deep neural networks.;S.Almajai;Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),2016

5. Amit, G., Jnoyola, J. N., & Sameep, S. B. (2016). Lip reading using CNN and LSTM. Stanford University Technical Report.