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Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression
In recent years, the introduction of neural networks (NNs) into the field of speech enhancement has brought significant improvements.
Efficient Acoustic Echo Suppression with Condition-Aware Training
The topic of deep acoustic echo control (DAEC) has seen many approaches with various model topologies in recent years.
Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering
Although today's speech communication systems support various bandwidths from narrowband to super-wideband and beyond, state-of-the art DNN methods for acoustic echo cancellation (AEC) are lacking modularity and bandwidth scalability.
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