Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Proceedings of KNASTIK
Rizki, Arviani
Unknown Affiliation

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

Found 1 Documents
Search

 1 
PEMODELAN PROBABILISTIK NEURAL NETWORK UNTUK KONVERSI SUARA GITAR KE CORD Rizki, Arviani; Buono, Agus
Proceedings of KNASTIK 2013
Publisher : Duta Wacana Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Almost allmusic genreuse guitaras its instrument.Toproducea harmonicguitarvoice needs guitar chords mastery. However, only few peopleareable todistinguish guitar chords. This paper is addressed to develop a computational model to convert guitar voice into appropriate cord. In this research, we use Mel Frequency Cepstrum Coefficient (MFCC) as feature extraction because thistechniqueis oftenusedfor voice processing and good enough in presenting thecharacteristics ofasignal voice. Probabilistic Neural Network (PNN) is implemented to classify the feature into one out of 24 classes of cord. We record 345 for each cord (totally we have 8640 recording data with WAV format). Experimenst are conducted for some number of cepstral coefficients (13, 26, 39 and 52), with 100 millisecond as time frame and 40% overlapping between successive frame. According to the experiment, the maximum accuracy is 94.31% for 52 number of cepstral coefficients.
Co-Authors Agus Buono