23 citations · 67 across the 4 of their papers we have counts for
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cs.SD2017★ 1 cited
Normalized Features for Improving the Generalization of DNN Based Speech Enhancement
Robert Rehr, Timo Gerkmann
Enhancing noisy speech is an important task to restore its quality and to improve its intelligibility. In traditional non-machine-learning (ML) based approaches the parameters requ…
cs.SD2017★ 23 cited
On the Importance of Super-Gaussian Speech Priors for Machine-Learning Based Speech Enhancement
Robert Rehr, Timo Gerkmann
For enhancing noisy signals, machine-learning based single-channel speech enhancement schemes exploit prior knowledge about typical speech spectral structures. To ensure a good gen…