Mohamed Elminshawi — accepted AI-conference papers

2023

Beamformer-Guided Target Speaker Extraction

Mohamed Elminshawi, Srikanth Raj Chetupalli, Emanuël A. P. Habets

ICASSP 2023accepted

We propose a Beamformer-guided Target Speaker Extraction (BG-TSE) method to extract a target speaker’s voice from a multi-channel recording informed by the direction of arrival of the target. The proposed method employs a front-end beamformer steered towards the target speaker to pro-vide an auxilia…

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2021

Noise-Robust Adaptation Control for Supervised Acoustic System Identification Exploiting a Noise Dictionary

Thomas Haubner, Andreas Brendel, Mohamed Elminshawi, Walter Kellermann

ICASSP 2021accepted

We present a noise-robust adaptation control strategy for block-online supervised acoustic system identification by exploiting a noise dictionary. The proposed algorithm takes advantage of the pronounced spectral structure which characterizes many types of interfering noise signals. We model the noi…

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