Frequency-domain criterion for the speech distortion weighted multichannel Wiener filter for robust noise reduction

Authors:
Simon Doclo;Ann Spriet;Jan Wouters;Marc Moonen
Affiliations:
Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT - SCD), Kasteelpark Arenberg 10 Bus 2446, 3001 Heverlee (Leuven), Belgium;Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT - SCD), Kasteelpark Arenberg 10 Bus 2446, 3001 Heverlee (Leuven), Belgium;Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT - SCD), Kasteelpark Arenberg 10 Bus 2446, 3001 Heverlee (Leuven), Belgium;Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT - SCD), Kasteelpark Arenberg 10 Bus 2446, 3001 Heverlee (Leuven), Belgium
Venue:
Speech Communication
Year:
2007

Citing 9
Cited 10

QRD-based unconstrained optimal filtering for acoustic noise reduction

Signal Processing
Spatially pre-processed speech distortion weighted multi-channel Wiener filtering for noise reduction

Signal Processing
Generalized multichannel frequency-domain adaptive filtering: efficient realization and application to hands-free speech communication

Signal Processing
The impact of speech detection errors on the noise reduction performance of multi-channel Wiener filtering and generalized sidelobe cancellation

Signal Processing
An acoustic human-machine front-end for multimedia applications

EURASIP Journal on Applied Signal Processing
GSVD-based optimal filtering for single and multimicrophone speech enhancement

IEEE Transactions on Signal Processing
Design of broadband beamformers robust against gain and phase errors in the microphone array characteristics

IEEE Transactions on Signal Processing
A robust adaptive beamformer for microphone arrays with a blockingmatrix using constrained adaptive filters

IEEE Transactions on Signal Processing
Signal enhancement using beamforming and nonstationarity withapplications to speech

IEEE Transactions on Signal Processing

Incorporating the conditional speech presence probability in multi-channel Wiener filter based noise reduction in hearing aids

EURASIP Journal on Advances in Signal Processing - Special issue on digital signal processing for hearing instruments
On optimal frequency-domain multichannel linear filtering for noise reduction

IEEE Transactions on Audio, Speech, and Language Processing
Theoretical analysis of binaural multimicrophone noise reduction techniques

IEEE Transactions on Audio, Speech, and Language Processing
Integrated active noise control and noise reduction in hearing aids

IEEE Transactions on Audio, Speech, and Language Processing
Two-stage binaural speech enhancement with Wiener filter for high-quality speech communication

Speech Communication
Output SNR analysis of integrated active noise control and noise reduction in hearing aids under a single speech source scenario

Signal Processing
A combined multi-channel Wiener filter-based noise reduction and dynamic range compression in hearing aids

Signal Processing
A speech distortion weighting based approach to integrated active noise control and noise reduction in hearing aids

Signal Processing
Location Feature Integration for Clustering-Based Speech Separation in Distributed Microphone Arrays

IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Reduced-bandwidth Multi-channel Wiener Filter based binaural noise reduction and localization cue preservation in binaural hearing aids

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recently, a generalized multi-microphone noise reduction scheme, referred to as the spatially pre-processed speech distortion weighted multichannel Wiener filter (SP-SDW-MWF), has been presented. This scheme consists of a fixed spatial pre-processor and a multichannel adaptive noise canceler (ANC) optimizing the SDW-MWF cost function. By taking speech distortion explicitly into account in the design criterion of the multichannel ANC, the SP-SDW-MWF adds robustness to the standard generalized sidelobe canceler (GSC). In this paper, we present a multichannel frequency-domain criterion for the SDW-MWF, from which several - existing and novel - adaptive frequency-domain algorithms can be derived. The main difference between these adaptive algorithms consists in the calculation of the step size matrix (constrained vs. unconstrained, block-structured vs. diagonal) used in the update formula for the multichannel adaptive filter. We investigate the noise reduction performance, the robustness and the tracking performance of these adaptive algorithms, using a perfect voice activity detection (VAD) mechanism and using an energy-based VAD. Using experimental results with a small-sized microphone array in a hearing aid, it is shown that the SP-SDW-MWF is more robust against signal model errors than the GSC, and that the block-structured step size matrix gives rise to a faster convergence and a better tracking performance than the diagonal step size matrix, only at a slightly higher computational cost.