Bram Cornelis

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This paper evaluates noise reduction techniques in bilateral and binaural hearing aids. Adaptive implementations (on a real-time test platform) of the bilateral and binaural speech distortion weighted multichannel Wiener filter (SDW-MWF) and a competing bilateral fixed beamformer are evaluated. As the SDW-MWF relies on a voice activity detector (VAD), a(More)
In this paper two multichannel noise reduction strategies are compared in the context of binaural hearing aids. Recently a novel noise reduction method based on spatial-temporal prediction (STP) was introduced which showed an improvement over methods based on multichannel Wiener filtering, although at the cost of a higher computational complexity. Whereas(More)
In this paper a frequency domain multichannel Wiener filter algorithm is proposed for noise reduction in hearing aids. It is shown that a robust and efficient QR Decomposition Recursive Least Squares (QRD-RLS) based updating scheme can be derived, if a single target speech source is assumed. Moreover, the scheme also allows to include a trade-off between(More)
The Speech Distortion Weighted Multichannel Wiener Filter (SDW-MWF) is a promising multi-microphone noise reduction technique, in particular for hearing aid applications. Its benefit over other techniques has been shown in several theoretical and experimental contributions. In theoretical studies, a single target speech source is commonly assumed, as this(More)
In this paper the localization cue preservation of a noise reduction algorithm for binaural hearing aids is analyzed. In a binaural noise reduction procedure based on Multi-channel Wiener Filtering (MWF), the basic cost function is extended with terms related to the Interaural Transfer Functions (ITF) of a speech and noise source. To make the algorithm(More)
—Binaural hearing aids use microphone signals from both left and right hearing aid to generate an output signal for each ear. The microphone signals can be processed by a procedure based on speech distortion weighted multichannel wiener filtering (SDW-MWF) to achieve significant noise reduction in a speech + noise scenario. In binaural procedures, it is(More)
Binaural hearing aids allow for a wireless exchange of microphone signals between a left and a right device. A significant noise reduction performance improvement can be achieved compared to a monaural configuration (a single device) or a bilateral configuration (in which the devices work independently). In addition, the binaural localization cues, i.e. the(More)
The Speech Distortion Weighted Multichannel Wiener Filter (SDW-MWF) is a powerful multimicrophone noise reduction technique, especially for binaural hearing aids where two devices are connected by a wireless link. As is the case for other single-and multi-microphone techniques, the SDW-MWF relies on a voice activity detection (VAD) algorithm, which(More)
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