Multi-source separation using over iterative empirical mode decomposition

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, we propose a novel multi-source fundamental frequency estimation method for music signals which is based on over iterative empirical mode decomposition (EMD). Multi-source fundamental frequency estimation in single channel polyphonic signal has been developed for a long time but still a challenging problem. By means of using over iterative EMD, we can obtain predominant frequency modulation subband signal named Intrinsic Mode Function (IMF) without the interference of amplitude modulation. Then the fundamental frequencies are obtained by a salience estimation method. The experimental results agree that the proposed method can extract the pitch content efficiently. © 2013 Springer-Verlag.

Cite

CITATION STYLE

APA

Wang, Y., Wang, H., & Zhang, Q. (2013). Multi-source separation using over iterative empirical mode decomposition. In Advances in Intelligent Systems and Computing (Vol. 180 AISC, pp. 363–368). Springer Verlag. https://doi.org/10.1007/978-3-642-31656-2_51

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free