Polynomial matrix eigenvalue decomposition of spherical harmonics for speech enhancement
File(s)
Author(s)
Neo, Vincent W
Evers, Christine
Naylor, Patrick A
Type
Conference Paper
Abstract
Speech enhancement algorithms using polynomial matrix eigen value decomposition (PEVD) have been shown to be effective for noisy and reverberant speech. However, these algorithms do not scale well in complexity with the number of channels used in the processing. For a spherical microphone array sampling an order-limited sound field, the spherical harmonics provide a compact representation of the microphone signals in the form of eigen beams. We propose a PEVD algorithm that uses only the lower dimension eigen beams for speech enhancement at a significantly lower computation cost. The proposed algorithm is shown to significantly reduce complexity while maintaining full performance. Informal listening examples have also indicated that the processing does not introduce any noticeable artefacts.
Date Issued
2021-05-13
Date Acceptance
2021-01-30
Citation
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp.786-790
Publisher
IEEE
Start Page
786
End Page
790
Journal / Book Title
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Copyright Statement
©2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Sponsor
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/P001017/1
EP/S035842/1
Source
IEEE International Conference on Acoustics, Speech and Signal Processing
Subjects
Science & Technology
Technology
Acoustics
Computer Science, Artificial Intelligence
Computer Science, Software Engineering
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
Computer Science
Engineering
Polynomial matrix
speech enhancement
spherical microphone arrays
multichannel signal processing
PLANE-WAVE DECOMPOSITION
ALGORITHM
EVD
Publication Status
Published
Start Date
2021-06-06
Finish Date
2021-06-11
Coverage Spatial
Toronto, ON, Canada