Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)

<Previous Article In Volume
Next Article In Volume>

Speech Signal Algorithm Conversion from Sasak Language into Sasak Script with CNN and Rule-Based Method

Authors
Arik Aranta1, *, I Gede Pasek Suta Wijaya1, Fitri Bimatoro1, Gibran Satya Nugraha1, Ramaditia Dwiyansaputra1, Belmiro Razak Setiawan1
1Department of Informatic Engineering, Univeristy of Mataram, Mataram, Indonesia
*Corresponding author. Email: arikaranta@unram.ac.id
Corresponding Author
Arik Aranta
Available Online 26 December 2022.
DOI
10.2991/978-94-6463-084-8_22How to use a DOI?
Keywords
Speech Processing; CNN; MFCC; Sasak Script
Abstract

Sasak speech-language is can’t operate in application such as google speech, Alexa assistance, and so on. It makes society need a new development technology who can solve the problem for sasak language. West Nusa Tenggara Province has more than thousand ancient manuscript writen in lontar leaves and papers, that the manuscript spread in Lombok Island and Sumbawa Island. Speech recognition technique for local language is important topic in computer science research, that it can save the culture from the island. This research should be explained how speech processing method working for conversion analog speech signal in Sasak language into Latin text. This study uses the Mel-Frequency Cepstral Coefficient (MFCC) method as a feature extraction method and Convolutional Neural Network (CNN) as a voice classification method into text, and the Rule Base method with UTF-16 which is used to provide rules on Latin letters that will be converted into text. Sasak characters. The algorithm developed is expected to be able to change 50 sound classes into Sasak letters with good accuracy results or above 88%, in changing the voice of the Sasak language into Sasak script by 90.00%.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)
Series
Advances in Computer Science Research
Publication Date
26 December 2022
ISBN
978-94-6463-084-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-084-8_22How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Arik Aranta
AU  - I Gede Pasek Suta Wijaya
AU  - Fitri Bimatoro
AU  - Gibran Satya Nugraha
AU  - Ramaditia Dwiyansaputra
AU  - Belmiro Razak Setiawan
PY  - 2022
DA  - 2022/12/26
TI  - Speech Signal Algorithm Conversion from Sasak Language into Sasak Script with CNN and Rule-Based Method
BT  - Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)
PB  - Atlantis Press
SP  - 245
EP  - 257
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-084-8_22
DO  - 10.2991/978-94-6463-084-8_22
ID  - Aranta2022
ER  -