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eess.AS2026
Knowledge Distillation for Efficient Acoustic Echo Control
Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt
In recent years, many efforts have been made to supersede classical acoustic echo control (AEC) algorithms with more powerful machine-learned approaches. While surpassing the perfo…
eess.AS2024
Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression
Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt
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 quit…
eess.AS2023
Efficient Acoustic Echo Suppression with Condition-Aware Training
Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt
The topic of deep acoustic echo control (DAEC) has seen many approaches with various model topologies in recent years. Convolutional recurrent networks (CRNs), consisting of a conv…