2 papers
eess.AS2026
Linearly Constrained Deep Beamformer for Multi-Speaker Scenarios
Ilai Zaidel, Ori Engel, Bar Engel +1
We propose a deep beamforming framework for enhancing target speaker(s) in multi-speaker environments. A deep neural network (DNN) is trained to estimate beamforming weights direct…
eess.AS2026
Interpretable Binaural Deep Beamforming Guided by Time-Varying Relative Transfer Function
Ilai Zaidel, Sharon Gannot
In this work, we propose a deep beamforming framework for speech enhancement in dynamic acoustic environments. The framework learns time-varying beamformer weights from noisy multi…