Jurnal Teknologi dan Terapan Bisnis
Vol. 2 No. 2 (2019): Vol 2 No 2 (2019): Jurnal Teknologi dan Terapan Bisnis

SISTEM KONVERSI UCAPAN KATA KE TEKS MENGGUNAKAN SUPPORT VECTOR MACHINE : SPEECH WORD RECOGNITION TO TEXT CONVERTER USING SUPPORT VECTOR MACHINE

Elsen Ronando (Universitas 17 Agustus 1945 Surabaya)
Sugiono (Universitas 17 Agustus 1945 Surabaya)



Article Info

Publish Date
24 Oct 2019

Abstract

Artificial intelligence technology is developing very rapidly. Various fields have applied this technology to help human work. Speech recognition system is one of the artificial intelligence technologies that are widely applied in various fields. However, some research showed that it was still necessary to develop a method for a good speech recognition system. In addition, the development of speech recognition systems that can provide benefits needs to be developed, such as text recording. Based on this, the research focuses on developing a speech recognition system, in the form of spoken words and convert to text form. Speech words that have been recorded are then extracted features using linear predictive coding method. After that, the characteristic features of each sound are trained and tested using the Support Vector Machine (SVM) method for the process of recognition and convert it into text. Based on the evaluation results show that this system is able to recognize words with an accuracy rate of 71.875%. These percentages indicate that the system is able to recognize spoken words and transform them into text form properly.

Copyrights © 2019






Journal Info

Abbrev

jttb

Publisher

Subject

Computer Science & IT

Description

The Journal of Technology and Applied Business (JTTB) is published by Unit Penelitian dan Pengabdian Masyarakat (UPPM), Akademi Komunitas Semen Indonesia (AKSI) Gresik published twice a year on every March and October. The submission process is open throughout the year. All submitted texts will be ...