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Tetsuya Ueda

2 accepted papers

2024

A Computationally Efficient Semi-Blind Source Separation Approach for Nonlinear Echo Cancellation Based on an Element-Wise Iterative Source Steering

ICASSP 2024accepted

While the semi-blind source separation-based acoustic echo cancellation (SBSS-AEC) has received much research attention due to its promising performance during double-talk compared to the traditional adaptive algorithms, it suffers from system latency and nonlinear distortions. To circumvent these d…

Cited by 6SourceScholar
2021

Low Latency Online Blind Source Separation Based on Joint Optimization with Blind Dereverberation

ICASSP 2021accepted

This paper presents a new low-latency online blind source separation (BSS) algorithm. Although algorithmic delay of a frequency domain online BSS can be reduced simply by shortening the short-time Fourier transform (STFT) frame length, it degrades the source separation performance in the presence of…

Cited by 0SourceScholar