A highly scalable spherical microphone array based on an orthonormal decomposition of the soundfield
By Jens Meyer, G. Elko. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
510 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/9fab691ad2f3b7bbe773f7a7c7086ac643a1ae4d
How researchers see this paper
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- J. Daniel
- S. Moreau
- R. Nicol
- Mark A. Poletti
Citations in the corpus
- Direction of Arrival Based Spatial Covariance Model for Blind Sound Source Separation (2014, unknown): “An emerging approach for beamforming based source separation is spherical array beamforming [27], [28] where a high number of densely spaced sensors in a physically small sphere is used to obtain uniform directivity properties towards every look direction.”
- Further Investigations of High-Order Ambisonics and Wavefield Synthesis for Holophonic Sound Imaging (2003, background): “Indeed, theoretical studies regarding higher orders addressed recording systems based horizontal circular microphone arrays [5, 14] and more recently spherical arrays [12, 20-22].”
- A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation (2017, unknown): “Spherical microphone arrays [129], [130] have also at-tracted attention, due to their ability to symmetrically analyze tridimensional sound-fields [131]–[133] (see also dual-radius spherical arrays [134]).”