2019/03/13 by Yoshiki Masuyama, Masuyama, Yoshiki, Kohei Yatabe +3
Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Audio and Speech Processing (eess.AS) #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Signal Processing (eess.SP) #Sound (cs.SD) #Speech and Audio Processing #cs.SD #eess.AS #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1903.05600
5 pages, to appear in IEEE ICASSP 2019 (Paper Code: AASP-P16.5, Session: Music Signal Analysis, Feedback and Echo Cancellation and Equalization)
arxiv created 2019/03/13 · openalex publication_date 2019/03/13 · arxiv updated 2019/03/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.