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All Journal Jurnal Teknik Informatika (JUTIF)
Yusra Yusra
Teknik Informatika, Universitas Islam Negeri Sultan Syarif Kasim Riau, Indonesia
Computer Science & IT

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AUTOMATIC CHORUS DETECTION FOR INDONESIAN MUSIC USING REFRAIN DETECTING METHOD (REFRAID) Ichsan Permana Putra; Elvia Budianita; Febi Yanto; Yusra Yusra
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.259

Abstract

Music has become an important part of human life, chorus is part of the musical structure that makes some impression on music, people are generally very familiar with the chorus in music because the chorus is often repeated on music. Automatic chorus detection is a part of Music Information Retrieval which is considered important for building music analysis system with human-like patterns. Refrain Detecting Method (RefraiD) select the chorus by grouping various repeating parts of the music, evaluating the intensity level of the melody from each group, then selecting the group with the highest melodic intensity as the chorus. This paper intends to implement RefraiD in Indonesian pop and dangdut music by downloading 20 pop music videos and 20 dangdut music videos from YouTube then process it with Information retrieval using Python. The results of this paper indicate that the RefraiD method can be used to detect the chorus on Indonesian music with F measure of 91.8% for dangdut music and 91.5% for pop music.
Co-Authors Elvia Budianita Febi Yanto Ichsan Permana Putra