45 citations
- Carl von Ossietzky Universität OldenburgDE46 papers
- Fraunhofer Institute for Digital Media TechnologyDE9 papers
- KU LeuvenBE5 papers
- Aalborg UniversityDK4 papers
- Jade University of Applied SciencesDE4 papers
- Klinikum OldenburgDE4 papers
- University of SouthamptonGB2 papers
- Bang & Olufsen (Denmark)DK1 paper
- Bar-Ilan UniversityIL1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- Frankfurt Institute for Advanced StudiesDE1 paper
- Goethe University FrankfurtDE1 paper
5 papers · 2 filters
RTF-steered binaural MVDR beamforming incorporating multiple external microphones
Nico Gößling, Wiebke Middelberg, Simon Doclo
The binaural minimum-variance distortionless-response (BMVDR) beamformer is a well-known noise reduction algorithm that can be steered using the relative transfer function (RTF) ve…
Integrated sidelobe cancellation and linear prediction Kalman filter for joint multi-microphone speech dereverberation, interfering speech cancellation, and noise reduction
T. Dietzen, S. Doclo, M. Moonen +1
In multi-microphone speech enhancement, reverberation as well as additive noise and/or interfering speech are commonly suppressed by deconvolution and spatial filtering, e.g., usin…
Square root-based multi-source early PSD estimation and recursive RETF update in reverberant environments by means of the orthogonal Procrustes problem
T. Dietzen, S. Doclo, M. Moonen +1
Multi-channel short-time Fourier transform (STFT) domain-based processing of reverberant microphone signals commonly relies on power-spectral-density (PSD) estimates of early sourc…
DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement
Marvin Tammen, Dörte Fischer, Bernd T. Meyer +1
Multi-frame approaches for single-microphone speech enhancement, e.g., the multi-frame minimum-power-distortionless-response (MFMPDR) filter, are able to exploit speech correlation…
Binaural LCMV Beamforming with Partial Noise Estimation
Nico Gößling, Elior Hadad, Sharon Gannot +1
Besides reducing undesired sources (interfering sources and background noise), another important objective of a binaural beamforming algorithm is to preserve the spatial impression…