Polynomial Matrix Eigenvalue Decomposition of Spherical Harmonics for Speech Enhancement
Published in ICASSP, 2021
Recommended citation: V. W. Neo, C. Evers, and P. A. Naylor, "Polynomial matrix eigenvalue decomposition of spherical harmonics for speech enhancement," in Proc. Intl. Conf. on Acoust., Speech and Signal Process. (ICASSP), Jun. 2021.
Suitable for spherical microphone arrays, this paper proposes a PEVD algorithm that uses only lower dimension eigenbeams for speech enhancement at a significantly lower cost while maintaining full performance of the original algorithm.
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