Aplikasi Penerjemah Kegiatan Seminar Menjadi Video Bahasa Isyarat BISINDO Dengan Speech To Text
Keywords:
procurement, risk analysis, five whys analysisAbstract
Information at this time is very much needed to increase our knowledge. However, this delivery can be hindered by several conditions such as the inability to hear the deaf community. Based on data from the Data and Information Center of the Ministry of Health of the Republic of Indonesia in 2019, 7.09% of the Indonesian population is deaf. In addition, the delivery of information at the seminar can be hindered by noise and participants sitting far from the speaker will have difficulty hearing the speaker's voice. In this study, we will use Speech-To-Text on the Android application which aims to help translate information in the form of voice delivered as at a seminar into text and will be converted into BISINDO sign language video. The results of testing the use of the Speech-To-Text feature in the application that has been made show that it is able to accommodate approximately 100 words in 1 minute at a time when the speaker speaks without any pause. The Speech-To-Text feature used takes approximately 2 seconds to translate the received voice and the time lag required by the speaker device to the participant's device takes approximately 3-5 seconds after using 5 different internet speeds. For the accuracy of the Speech-To-Text feature that was tested using 3 narrations read by 4 different people, the accuracy of the Speech-To-Text feature has an accuracy of above 80% in general, although there is an accuracy that is below 80% due to the ambiguity of the pronunciation.References
[1] Gumelar, G., Hafiar, H., & Subekti, P. (2018). KONSTRUKSI
MAKNA BISINDO SEBAGAI BUDAYA TULI BAGI
ANGGOTA GERKATIN. Informasi, 48(1), 65-78. DOI:
10.21831/informasi.v48i1.17727
[2] Khan, R. Z., & Ibraheem, N. A. (2012). Survey on Gesture
Recognition for Hand Image Postures. Computer and
Information Science, 5(3). DOI: 10.5539/cis.v5n3p110
[3] Khilari, P., & Bhope, V. P. (2015). A REVIEW ON SPEECH
TO TEXT CONVERSION METHODS. International Journal
of Advanced Research in Computer Engineering &
Technology (IJARCET), 4(7). ISSN: 2278 –1323
[4] Kothadiya, D., Pise, N., & Bedekar, M. (2020). Different
Methods Review for Speech to Text and Text to Speech
Conversion. International Journal of Computer Applications,
975, 8887. DOI: 10.1007/s11042-020-10073-7
[5] Mitra, S., & Acharya, T. (2007). Gesture Recognition: A
Survey. IEEE Transactions on Systems, Man and Cybernetics,
Part c (Applications and Reviews), 37(3), 311–324. DOI:
10.1109/TSMCC.2007.893280
[6] Pavlovic, V. I., Sharma, R., & Huang, T. S. (1997). Visual
interpretation of hand gestures for human-computer
interaction: a review. IEEE Transactions on Pattern Analysis
and Machine Intelligence, 19(7), 677–695. DOI:
10.1109/34.598226
[7] Singh, A. P., Nath, R., & Kumar, S. (2018, November). A
survey: Speech recognition approaches and techniques. In
2018 5th IEEE Uttar Pradesh Section International
Conference on Electrical, Electronics and Computer
Engineering (UPCON) (pp. 1-4). IEEE. DOI:
10.1109/UPCON.2018.8596954
[8] Trivedi, A., Pant, N., Shah, P., Sonik, S., & Agrawal, S.
(2018). Speech to text and text to speech recognition systemsAreview. IOSR J. Comput. Eng, 20(2), 36-43. DOI:
10.9790/0661-2002013643
[9] Vadwala, A. Y., Suthar, K. A., Karmakar, Y. A., & Thakkar,
N. (2017). Survey paper on Different Speech Recognition
Algorithm: Challenges and Techniques SAMVAD-Speak Ask
Manage Via Android Device View project Survey paper on
Different Speech Recognition Algorithm: Challenges and
Techniques. International Journal of Computer Applications,
175(1). DOI: 10.1109/TSMCC.2007.893280
[10] Zulpicha, E. (2017). Konflik Kebijakan Penggunaan Sistem
Bahasa Isyarat Indonesia di Lingkungan Pendidikan Formal.
Jurnal Analisa Sosiolog
