Phase-mode versus delay-and-sum spherical microphone array processing

Rafaely, Boaz

doi:10.1109/lsp.2005.855542

Cited by 108 publications

(52 citation statements)

References 12 publications

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“…The same smoothed histogram with matching pursuits method as for the proposed method was used to obtain the estimated DOAs. The PlaneWave Decomposition-Steered Response Power (PWD-SRP) method used a planewave decomposition beamformer [22] steered in 180⇥91 directions to produce a power map. The 3 largest peaks were taken as the DOA estimates.…”

Section: Implementation Detailsmentioning

confidence: 99%

2D direction of arrival estimation of multiple moving sources using a spherical microphone array

Moore

Evers

Naylor

2016

2016 24th European Signal Processing Conference (EUSIPCO)

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Direction of arrival estimation using a spherical microphone array is an important and growing research area. One promising algorithm is the recently proposed Subspace PseudoIntensity Vector method. In this contribution the Subspace Pseudo-Intensity Vector method is combined with a state-ofthe-art method for robustly estimating the centres of mass in a 2D histogram based on matching pursuits. The performance of the improved Subspace Pseudo-Intensity Vector method is evaluated in the context of localising multiple moving sources where it is shown to outperform competing methods in terms of clutter rate and the number of missed detections whilst remaining comparable in terms of localisation accuracy.

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Section: Implementation Detailsmentioning

confidence: 99%

2D direction of arrival estimation of multiple moving sources using a spherical microphone array

Moore

Evers

Naylor

2016

2016 24th European Signal Processing Conference (EUSIPCO)

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“…Various techniques have been published for acoustically transparent or rigid spheres equipped with pressure or cardioid microphones [6,1]. For clarity of presentation we discuss the open sphere case only.…”

Section: Spherical Microphone Arraysmentioning

confidence: 99%

“…The spherical harmonics expansion coefficientsP m n (ω) can be computed from the sound pressure P (x, ω) captured on an acoustically transparent sphere with radius R as [6] …”

Section: Spherical Microphone Arraysmentioning

confidence: 99%

Evaluation of perceptual properties of phase-mode beamforming in the context of data-based binaural synthesis

Spors

Wierstorf

2012

2012 5th International Symposium on Communications, Control and Signal Processing

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Several approaches to data-based binaural synthesis have been published that process the sound field captured by a spherical microphone array. The captured sound field is typically decomposed into plane waves which are then auralized using head-related transfer functions. The decomposition into plane waves is often based upon modal beamforming techniques which represent the sound field with respect to surface spherical harmonics. The achievable spatial bandwidth is limited due to practical considerations. This paper investigates the perceptual implications of these limitations in the context of data-based binaural synthesis.

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“…The phase-mode spherical array [Meyer 2002] [Rafaely 2005] [Teutsch 2007] has some similarities in form to the proposed beamforming method. Both methods perform the beamforming in two steps.…”

Section: Comparison With Phase-mode Spherical Arraymentioning

confidence: 99%

Beamforming with microphone arrays for directional sources

Bouchard

Havelock

Bouchard

2009

The Journal of the Acoustical Society of America

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Beamforming is done with an array of sensors to achieve a directional or spatially-specific response by using a model of the arriving wavefront. Real acoustic sources may deviate from the conventional plane wave or monopole model, causing decreased array gain or a total breakdown of beamforming. An alternative to beamforming with the conventional source model is presented which avoids this by using a more general source model. The proposed method defines a set of “sub-beamformers,” each designed to respond to a different spatial mode of the source. The outputs of the individual sub-beamformers are combined in a weighted sum to give an overall output of better quality than that of a conventional (monopole) beamformer. It is shown that with appropriate weighting, the optimum array gain can be achieved. A simple method is demonstrated to estimate the weighted sum, based on the observed data. The variance and bias of the estimate in the presence of noise are evaluated. Simulation and experimentally measured results are shown for a simple directive source. In the experiment, the proposed method provides an array gain of about 11 dB while beamforming using a point source model achieves only −4 dB.

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Phase-mode versus delay-and-sum spherical microphone array processing

Cited by 108 publications

References 12 publications

2D direction of arrival estimation of multiple moving sources using a spherical microphone array

2D direction of arrival estimation of multiple moving sources using a spherical microphone array

Evaluation of perceptual properties of phase-mode beamforming in the context of data-based binaural synthesis

Beamforming with microphone arrays for directional sources

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