TY - GEN
T1 - Deep Learning and Sign Language Models Based Enhanced Accessibility of e-governance Services for Speech and Hearing-Impaired
AU - Eunice, R. Jennifer
AU - Hemanth, D. Jude
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Sign Language is the basic building block to communicate with the hearing and speech impaired. This can be made easy by developing a robust system to transcribe real-life spoken language sentences into its sign language sequence video and contra wise. Such a system is built with both a sign recognition unit and a sign translation unit. In this paper we provide an in-depth analysis of the existing proposed models to develop such a robust system, discussing their pros and cons. In addition to that, we evaluate the performance of those models based on the quality outcome from the video generation unit. We also brief the future scope in establishing real-life SLP communication models build with advanced deep learning architectures for the hearing and speech disabled thus paving the way to impart education and employment among the hearing and speech impaired.
AB - Sign Language is the basic building block to communicate with the hearing and speech impaired. This can be made easy by developing a robust system to transcribe real-life spoken language sentences into its sign language sequence video and contra wise. Such a system is built with both a sign recognition unit and a sign translation unit. In this paper we provide an in-depth analysis of the existing proposed models to develop such a robust system, discussing their pros and cons. In addition to that, we evaluate the performance of those models based on the quality outcome from the video generation unit. We also brief the future scope in establishing real-life SLP communication models build with advanced deep learning architectures for the hearing and speech disabled thus paving the way to impart education and employment among the hearing and speech impaired.
UR - https://www.scopus.com/pages/publications/85148040672
UR - https://www.scopus.com/pages/publications/85148040672#tab=citedBy
U2 - 10.1007/978-3-031-22950-3_2
DO - 10.1007/978-3-031-22950-3_2
M3 - Conference contribution
AN - SCOPUS:85148040672
SN - 9783031229497
T3 - Communications in Computer and Information Science
SP - 12
EP - 24
BT - Electronic Governance with Emerging Technologies - 1st International Conference, EGETC 2022, Revised Selected Papers
A2 - Ortiz-Rodríguez, Fernando
A2 - Tiwari, Sanju
A2 - Sicilia, Miguel-Angel
A2 - Nikiforova, Anastasija
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Conference on Electronic Governance with Emerging Technologies, EGETC 2022
Y2 - 12 September 2022 through 14 September 2022
ER -