Title :
Fundamental frequency estimation for monophonical Turkish music by using VMD
Author :
Simsek, Berrak Ozturk ; Akan, Aydn ; Bozkurt, Baris
Author_Institution :
Elektron. Muhendisligi Bolumu, Istanbul Kultur Univ., Istanbul, Turkey
Abstract :
In this study, a new method is presented for the fundamental frequency estimation of Turkish makam music recordings by using Variational Mode Decomposition (VMD). VMD is a method to decompose an input signal into an ensemble of sub-signals (modes) which is entirely non-recursive and determines the relevant bands adaptively and estimates the corresponding modes concurrently. In order to decompose a given signal optimally, actuated by the narrow-band properties corresponding to the Intrinsic Mode Function (IMF) definition used in Emprical Mode Decomposition (EMD), and we seek an ensemble of modes. Simulation results on fundamental frequency estimation of real music and synthetic test data show better performance compared to other common decomposition methods for music signals such as spectrogram, YIN, MELODIA and EMD based methods.
Keywords :
music; signal processing; variational techniques; EMD based methods; IMF definition; MELODIA; Turkish makam music recordings; VMD; YIN; empirical mode decomposition; fundamental frequency estimation; intrinsic mode function; monophonical Turkish music; music signals; narrow-band properties; real music; spectrogram; subsignals; synthetic test data; variational mode decomposition; Adaptation models; Conferences; Frequency estimation; Multiple signal classification; Music information retrieval; Time-frequency analysis; Turkish maqam music; Variational Mode Decomposition; monophonic music; pitch frequency;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130006