Friedrich Faubel

Friedrich Faubel
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Main area of research
Speech enhancement

Selected articles

Discriminative Training of Deep Regression Networks for Artificial Bandwidth Extension

Artificial bandwidth extension reconstructs a 16 kHz wideband signal from a given 8 kHz narrowband signal. Stateof-the-art approaches use regression deep neural networks (DNNs) for

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Feature Selection for DNN-based Bandwidth Extension

Articial bandwidth extension (BWE) is still an important topic, especially in the automotive domain where consumers experience a dramatic degradation in voice quality when a

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Evaluation of Different Excitation Generation Algorithms for Artificial Bandwidth Extension

Artificial bandwidth extension (ABWE) for speech signals is still an important topic in mobile telephony, especially when a 16 kHz wideband (WB) call suddenly falls

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Rating Nonlinear Behavior in Acoustic Echo Control Scenarios

Nonlinear behavior in the amplier of embedded audio systems remains a challenge in acoustic echo control. Echo cancellation or suppression methods are usually evaluated using

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Combined Linear and Nonlinear Residual Echo Suppression Using a Deficient Distortion Model — A Proof of Concept

Acoustic echo control is still challenged with finding computationally efficient and accurate methods for handling nonlinear echo components introduced by cheap loudspeaker components and high

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