Phase-aware Harmonic/percussive Source Separation via Convex Optimization
Yoshiki Masuyama, Kohei Yatabe, Yasuhiro Oikawa
Abstract
Decomposition of an audio mixture into harmonic and percussive components, namely harmonic/percussive source separation (HPSS), is a useful pre-processing tool for many audio applications. Popular approaches to HPSS exploit the distinctive source-specific structures of power spectrograms. However, such approaches consider only power spectrograms, and the phase remains intact for resynthesizing the separated signals. In this paper, we propose a phase-aware HPSS method based on the structure of the phase of harmonic components. It is formulated as a convex optimization problem in the time domain, which enables the simultaneous treatment of both amplitude and phase. The numerical experiment validates the effectiveness of the proposed method.
BibTeX
@inproceedings{icassp2019_phaseawareharmon,
title = {Phase-aware Harmonic/percussive Source Separation via Convex Optimization},
author = {Yoshiki Masuyama and Kohei Yatabe and Yasuhiro Oikawa},
booktitle = {ICASSP 2019},
year = {2019}
}