(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022

Implementasi Metode K-Nearest Neighbor Dalam Mengklasifikasikan Jenis Suara Berdasarkan Jangkauan Vokal




Article Info

Publish Date
20 Jul 2022

Abstract

Humans have voice characteristics with different vocal ranges, namely the male voice consists of Tenor, Baritone, and Bass, while the female voice consists of Soprano, Mezzosoprano, and Alto. Determining the voice range, especially for a singer, requires a vocal trainer or musical instrument that is quite difficult to access. Therefore, a sound classification system created based on vocal range using the Harmonic Product Spectrum (HPS) feature extraction method and the K-Nearest Neighbors (KNN) classification method uses k parameters from 1 to 40. The test gets the highest accuracy on parameter k=8, which is 88.88%, so that from the resulting accuracy to prove the K-Nearest Neighbor (KNN) method gives good results in classifying the type of voice. Keywords: Classification, Vocal range, Harmonic Product Spectrum, K-Nearest Neighbors

Copyrights © 2022






Journal Info

Abbrev

JLK

Publisher

Subject

Computer Science & IT

Description

Aim and Scope: JELIKU publishes original papers in the field of computer science, but not limited to, the following scope: Computer Science, Computer Engineering, and Informatics Computer Architecture Parallel and Distributed Computer Computer Network Embedded System Human—Computer Interaction ...