17 citations · 36 across the 6 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
eess.AS2021
Low complexity online convolutional beamforming
Sebastian Braun, Ivan Tashev
Convolutional beamformers integrate the multichannel linear prediction model into beamformers, which provide good performance and optimality for joint dereverberation and noise red…
eess.AS2021
On training targets for noise-robust voice activity detection
Sebastian Braun, Ivan Tashev
The task of voice activity detection (VAD) is an often required module in various speech processing, analysis and classification tasks. While state-of-the-art neural network based…
eess.AS2021
Towards efficient models for real-time deep noise suppression
Sebastian Braun, Hannes Gamper, Chandan K. A. Reddy +1
With recent research advancements, deep learning models are becoming attractive and powerful choices for speech enhancement in real-time applications. While state-of-the-art models…