2 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
CLC: Complex Linear Coding for the DNS 2020 Challenge
Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B. +1
Complex-valued processing brought deep learning-based speech enhancement and signal extraction to a new level. Typically, the noise reduction process is based on a time-frequency (…
Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks
Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B. +2
Deep-learning based noise reduction algorithms have proven their success especially for non-stationary noises, which makes it desirable to also use them for embedded devices like h…
CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding
Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante B. +2
Noise reduction is an important part of modern hearing aids and is included in most commercially available devices. Deep learning-based state-of-the-art algorithms, however, either…