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Daniel Marquardt

7 accepted papers

2018

EEG-Based Auditory Attention Decoding Using Steerable Binaural Superdirective Beamformer

ICASSP 2018accepted

During the last decades significant progress in multi-microphone speech enhancement algorithms has been made for hearing aids. However, the performance of many algorithms depends on identifying the target speaker to be enhanced. To identify the target speaker from single-trial EEG recordings in an a…

Cited by 0SourceScholar
2017

Comparison of two binaural beamforming approaches for hearing aids

ICASSP 2017accepted

Beamforming algorithms in binaural hearing aids are crucial to improve speech understanding in background noise for hearing impaired persons. In this study, we compare and evaluate the performance of two recently proposed minimum variance (MV) beamforming approaches for binaural hearing aids. The bi…

Cited by 0SourceScholar
2016

Extensions of the binaural MWF with interference reduction preserving the binaural cues of the interfering source

ICASSP 2016accepted

Recently, an extension of the binaural multichannel Wiener filter (BMWF), referred to as BMWF-IRo, was presented in which an interference rejection constraint was added to the BMWF cost function. Although the BMWF-IRo aims to entirely suppress the interfering source, residual interfering sources (as…

Cited by 0SourceScholar
2016

Incorporating relative transfer function preservation into the binaural multi-channel wiener filter for hearing aids

ICASSP 2016accepted

Besides noise reduction, an important objective of binaural speech enhancement algorithms is the preservation of the binaural cues of all sound sources. For the desired speech source and an interfering source, e.g., competing speaker, this can be achieved by preserving their relative transfer functi…

Cited by 0SourceScholar
2015

Binaural multichannel Wiener filter with directional interference rejection

ICASSP 2015accepted

In this paper we consider an acoustic scenario with a desired source and a directional interference picked up by hearing devices in a noisy and reverberant environment. We present an extension of the binaural multichannel Wiener filter (BMWF), by adding an interference rejection constraint to its co…

Cited by 0SourceScholar
2015

Curvature-based optimization of the trade-off parameter in the speech distortion weighted multichannel wiener filter

ICASSP 2015accepted

The objective of the speech distortion weighted multichannel Wiener filter (MWF) is to reduce background noise while controlling speech distortion. This can be achieved by means of a trade-off parameter, hence, selecting an optimal trade-off parameter is of crucial importance. Aiming at incorporatin…

Cited by 0SourceScholar
2015

Interaural coherence preservation in MWF-based binaural noise reduction algorithms using partial noise estimation

ICASSP 2015accepted

Besides noise reduction an important objective of binaural speech enhancement algorithms is the preservation of the binaural cues of both desired and undesired sound sources. Recently an extension of the binaural Multi-channel Wiener filter (MWF), namely the MWF-IC, has been presented which aims to…

Cited by 0SourceScholar