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Ernst Seidel

2 accepted papers

2024

Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression

ICASSP 2024accepted

In recent years, the introduction of neural networks (NNs) into the field of speech enhancement has brought significant improvements. However, many of the proposed methods are quite demanding in terms of computational complexity and memory footprint. For the application in dedicated communication de…

Cited by 0SourceScholar
2021

AEC in A Netshell: on Target and Topology Choices for FCRN Acoustic Echo Cancellation

ICASSP 2021accepted

Acoustic echo cancellation (AEC) algorithms have a long-term steady role in signal processing, with approaches improving the performance of applications such as automotive hands-free systems, smart home and loudspeaker devices, or web conference systems. Just recently, very first deep neural network…

Cited by 0SourceScholar