@inproceedings{braun2022task,
author = {Braun, Sebastian and Valero, Maria Luis},
title = {Task splitting for DNN-based acoustic echo and noise removal},
organization = {IEEE},
booktitle = {IWAENC},
year = {2022},
month = {September},
abstract = {Neural networks have led to tremendous performance gains for single-task speech enhancement, such as noise suppression and acoustic echo cancellation (AEC). In this work, we evaluate whether it is more useful to use a single joint or separate modules to tackle these problems. We describe different possible implementations and give insights into their performance and efficiency. We show that using a separate echo cancellation module and a module for noise and residual echo removal results in less near-end speech distortion and better performance during double-talk at same complexity.},
url = {http://approjects.co.za/?big=en-us/research/publication/task-splitting-for-dnn-based-acoustic-echo-and-noise-removal/},
}