Reduced-rank modeling of time-varying spectral patterns for supervised source separation

Abstract

In this paper, we propose a new modeling technique of signals having time-varying spectral patterns for supervised source separation. Typical examples of such signals are instrumental sounds having several segments such as “attack” and “sustain”. In the proposed technique, a given signal is modeled as a linear combination of multiple bases which are… (More)
DOI: 10.1109/ICASSP.2015.7178583

Topics

4 Figures and Tables

Slides referencing similar topics