Alternative formulation and robustness analysis of the multichannel wiener filter for spatially distributed microphones

Lawin-Ore, Toby Christian; Stenzel, Sebastian; Freudenberger, Jürgen; Doclo, Simon

doi:10.1109/iwaenc.2014.6954008

Cited by 6 publications

(10 citation statements)

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“…In [7], the generalized MWF was presented, where the elements u i of the vector u define a speech reference for the MWF which is a weighted sum of the speech components in the different microphones with the phase of the speech component in the reference microphone signal. The vector u can be used to define the desired complex-valued response as…”

Section: Generalized Mwfmentioning

confidence: 99%

“…Recently, research on speech enhancement using socalled acoustic sensor networks consisting of spatially distributed microphones has gained significant interest [1][2][3][4][5][6][7][8][9][10][11][12]. Compared with a microphone array at a single position, spatially distributed microphones are able to acquire more information about the sound field.…”

Section: Introductionmentioning

confidence: 99%

“…The desired signal of the standard MWF (S-MWF) is usually the speech component in one of the microphone signals, referred to as the reference microphone signal. For spatially distributed microphones, the selection of the reference microphone may have a large influence on the performance of the MWF depending on the positions of the speech/noise sources and the microphones [5][6][7]17].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the generalized MWF was proposed in order to improve the broadband output SNR [7] (see also [6]). With the G-MWF, the speech reference is a weighted sum of the speech components, such that the output signal has the same phase as the speech component in the reference microphone.…”

Section: Introductionmentioning

confidence: 99%

“…That is, we present a further generalization of the G-MWF approach in [7], which enables different phase references. We demonstrate that the phase of the speech reference shapes the overall transfer function and hence impacts the speech distortion.…”

Section: Introductionmentioning

confidence: 99%

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Phase reference for the generalized multichannel Wiener filter

Grimm

Lawin-Ore

Doclo

et al. 2016

EURASIP J. Adv. Signal Process.

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The multichannel Wiener filter (MWF) is a well-established noise reduction technique for speech processing. Most commonly, the speech component in a selected reference microphone is estimated. The choice of this reference microphone influences the broadband output signal-to-noise ratio (SNR) as well as the speech distortion. Recently, a generalized formulation for the MWF (G-MWF) was proposed that uses a weighted sum of the individual transfer functions from the speaker to the microphones to form a better speech reference resulting in an improved broadband output SNR. For the MWF, the influence of the phase reference is often neglected, because it has no impact on the narrow-band output SNR. The G-MWF allows an arbitrary choice of the phase reference especially in the context of spatially distributed microphones. In this work, we demonstrate that the phase reference determines the overall transfer function and hence has an impact on both the speech distortion and the broadband output SNR. We propose two speech references that achieve a better signal-to-reverberation ratio (SRR) and an improvement in the broadband output SNR. Both proposed references are based on the phase of a delay-and-sum beamformer. Hence, the time-difference-of-arrival (TDOA) of the speech source is required to align the signals. The different techniques are compared in terms of SRR and SNR performance.

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Section: Generalized Mwfmentioning

confidence: 99%