Taishi Nakashima — accepted AI-conference papers

2023

Fast Online Source Steering Algorithm for Tracking Single Moving Source Using Online Independent Vector Analysis

Taishi Nakashima, Rintaro Ikeshita, Nobutaka Ono, Shoko Araki, Tomohiro Nakatani

ICASSP 2023accepted

We address the problem of separating moving sources using online independent vector analysis (IVA). To solve this problem, researchers have extended the iterative projection (IP) and iterative source steering (ISS) algorithms developed for batch auxiliary-function-based IVA (AuxIVA) to online scenar…

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2021

Joint Dereverberation and Separation With Iterative Source Steering

Taishi Nakashima, Robin Scheibler, Masahito Togami, Nobutaka Ono

ICASSP 2021accepted

We propose a new algorithm for joint dereverberation and blind source separation (DR-BSS). Our work builds upon the IRLMA-T framework that applies a unified filter combining dereverberation and separation. One drawback of this framework is that it requires several matrix inversions, an operation inh…

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