Audio Melody Extraction From Heterophonic Turkish Maqam Music

Loading...
Publication Logo

Date

2021

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

In this study, the Improved Variable Mode Decomposition Method (IVMD) is proposed for the estimation of the audio melody in heterophonic works that constitute the general texture of Turkish maqam music. In our study, the fundamental frequencies of the records belonging to huzzam, kurdilihicazkar, ussak, and rast maqams were estimated by using the IVMD method. Since the basis of the heterophonic texture is that the same melody is performed by more than one instrument, the estimated fundamental frequencies are more than one for each time window. After the multiple frequency estimation, in order to obtain the audio melody of the music recording and therefore a single frequency line, the selection of the frequencies belonging to the audio melody line from the fundamental frequencies was made. The study has been compared with the methods widely used in the analysis of polyphonic music works such as YIN and MELODIA. When the comparisons were evaluated on the basis of maqam and mixture according to the MIREX criteria, successful results were obtained with the IVMD method.

Description

29th IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUN 09-11, 2021 -- ELECTR NETWORK

Keywords

Improved variational mode decomposition, audio melody extraction, heterophony, Transcription

Fields of Science

Citation

WoS Q

N/A

Scopus Q

N/A
OpenCitations Logo
OpenCitations Citation Count
N/A

Source

29Th Ieee Conference on Sıgnal Processıng And Communıcatıons Applıcatıons (Sıu 2021)

Volume

Issue

Start Page

1

End Page

4
PlumX Metrics
Citations

Scopus : 0

Captures

Mendeley Readers : 1

Page Views

6

checked on Mar 22, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.0

Sustainable Development Goals