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Survey on language processing algorithm for sign language synthesizer

Hearing and Speech Impaired (HSI) community is often disadvantaged due to their difficulties in communicating with the rest of the World. Although Sign languages have been used as a means to convey their message, problems still exist as there are not many people familiar with this type of languages...

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Main Authors: Maarif, Haris Al Qodri, Akmeliawati, Rini, Gunawan, Teddy Surya
Format: Article
Language:English
Published: Faculty of Art Design and Technology, University of Derby 2017
Subjects:
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:http://irep.iium.edu.my/72336/1/Maarif2017_Survey%20on%20Language%20Processing%20Algorithm%20for%20Sign%20Language%20Synthesizer.pdf
http://irep.iium.edu.my/72336/
http://ojs.unsysdigital.com/index.php/ijrm/article/view/10.21535%252Fijrm.v4i2.1001
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spelling my.iium.irep.723362019-07-12T01:23:33Z http://irep.iium.edu.my/72336/ Survey on language processing algorithm for sign language synthesizer Maarif, Haris Al Qodri Akmeliawati, Rini Gunawan, Teddy Surya TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Hearing and Speech Impaired (HSI) community is often disadvantaged due to their difficulties in communicating with the rest of the World. Although Sign languages have been used as a means to convey their message, problems still exist as there are not many people familiar with this type of languages. Besides, the number of available translators is insufficient to resolve the issue. This has motivated various research described in this paper. In general, we can divide the main contribution in solving the communication problem of the HSI community into two types, the first involves the development of automatic SL translators which allow the non-HSI communities to understand the messages conveyed by the HSI people, and the second relates to the development of SL synthesizers which allow the non-HSI community to pass their messages to HSI people. Thus, when both systems are integrated, two way communication can be established. In this paper, we provide a comprehensive review on the work in SL synthesizer development. SL synthesizer is a tool that synthesizes or constructs series of signs of a particular SL based on the speech input given to the system. The process involves adjusting speech input that can fit the sign language grammatical rule in order to provide an understandable output to the HSI people. Some algorithms, such as Natural Language Processing, are explored. In this paper, the details of each methods have been identified and discussed. In conclusion, we found that the Natural Language Processing (NLP) has provided relatively more efficient process and better results. Faculty of Art Design and Technology, University of Derby 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72336/1/Maarif2017_Survey%20on%20Language%20Processing%20Algorithm%20for%20Sign%20Language%20Synthesizer.pdf Maarif, Haris Al Qodri and Akmeliawati, Rini and Gunawan, Teddy Surya (2017) Survey on language processing algorithm for sign language synthesizer. International Journal on Robotics and Mechatronics, 4 (2). pp. 39-49. ISSN 2288-5889 http://ojs.unsysdigital.com/index.php/ijrm/article/view/10.21535%252Fijrm.v4i2.1001 10.21535%252Fijrm.v4i2.1001
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Maarif, Haris Al Qodri
Akmeliawati, Rini
Gunawan, Teddy Surya
Survey on language processing algorithm for sign language synthesizer
description Hearing and Speech Impaired (HSI) community is often disadvantaged due to their difficulties in communicating with the rest of the World. Although Sign languages have been used as a means to convey their message, problems still exist as there are not many people familiar with this type of languages. Besides, the number of available translators is insufficient to resolve the issue. This has motivated various research described in this paper. In general, we can divide the main contribution in solving the communication problem of the HSI community into two types, the first involves the development of automatic SL translators which allow the non-HSI communities to understand the messages conveyed by the HSI people, and the second relates to the development of SL synthesizers which allow the non-HSI community to pass their messages to HSI people. Thus, when both systems are integrated, two way communication can be established. In this paper, we provide a comprehensive review on the work in SL synthesizer development. SL synthesizer is a tool that synthesizes or constructs series of signs of a particular SL based on the speech input given to the system. The process involves adjusting speech input that can fit the sign language grammatical rule in order to provide an understandable output to the HSI people. Some algorithms, such as Natural Language Processing, are explored. In this paper, the details of each methods have been identified and discussed. In conclusion, we found that the Natural Language Processing (NLP) has provided relatively more efficient process and better results.
format Article
author Maarif, Haris Al Qodri
Akmeliawati, Rini
Gunawan, Teddy Surya
author_facet Maarif, Haris Al Qodri
Akmeliawati, Rini
Gunawan, Teddy Surya
author_sort Maarif, Haris Al Qodri
title Survey on language processing algorithm for sign language synthesizer
title_short Survey on language processing algorithm for sign language synthesizer
title_full Survey on language processing algorithm for sign language synthesizer
title_fullStr Survey on language processing algorithm for sign language synthesizer
title_full_unstemmed Survey on language processing algorithm for sign language synthesizer
title_sort survey on language processing algorithm for sign language synthesizer
publisher Faculty of Art Design and Technology, University of Derby
publishDate 2017
url http://irep.iium.edu.my/72336/1/Maarif2017_Survey%20on%20Language%20Processing%20Algorithm%20for%20Sign%20Language%20Synthesizer.pdf
http://irep.iium.edu.my/72336/
http://ojs.unsysdigital.com/index.php/ijrm/article/view/10.21535%252Fijrm.v4i2.1001
_version_ 1643620126888558592
score 13.211869

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