Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
I Dewa Agung Prawangsa
Universitas Udayana
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Metode MFCC dan LSTM untuk Pengenalan Emosi melalui Suara I Dewa Agung Prawangsa; Dr. Anak Agung Istri Ngurah Eka Karyawati
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2024.v12.i04.p04

Abstract

Speech recognition falls under the field of computational linguistics. This includes identification, recognition, and translation of speech detected into text by a computer. This research uses Mel Frequency Cepstral Coefficients (MFCC) and Recurrent Neural Networks (RNN) techniques as a form of Artificial Neural Networks (ANN) architecture. The main purpose of this research is to use speech recognition techniques to detect and identify various emotional sounds in a person. The MFCC process will convert the voice signal into several vectors that help for the speech recognition process in this study.
Co-Authors Dr. Anak Agung Istri Ngurah Eka Karyawati