Speech dereverberation performance of a polynomial-EVD subspace approach
File(s)
Author(s)
Neo, Vincent W
Evers, Christine
Naylor, Patrick A
Type
Conference Paper
Abstract
The degradation of speech arising from additive background noise and reverberation affects the performance of important speech applications such as telecommunications, hearing aids, voice-controlled systems and robot audition. In this work, we focus on dereverberation. It is shown that the parameterized polynomial matrix eigenvalue decomposition (PEVD)-based speech enhancement algorithm exploits the lack of correlation between speech and the late reflections to enhance the speech component associated with the direct path and early reflections. The algorithm's performance is evaluated using simulations involving measured acoustic impulse responses and noise from the ACE corpus. The simulations and informal listening examples have indicated that the PEVD-based algorithm performs dereverberation over a range of SNRs without introducing any noticeable processing artefacts.
Date Acceptance
2020-05-29
Citation
2020 28th European Signal Processing Conference (EUSIPCO)
ISBN
9789082797053
ISSN
2076-1465
Publisher
IEEE
Journal / Book Title
2020 28th European Signal Processing Conference (EUSIPCO)
Copyright Statement
© 2020 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.
Sponsor
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/P001017/1
EP/S035842/1
Source
European Signal Processing Conference (EUSIPCO)
Subjects
Science & Technology
Technology
Acoustics
Computer Science, Software Engineering
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
Computer Science
Engineering
Dereverberation
polynomial matrix eigenvalue decomposition
convolutive noise
broadband signal processing
microphone array
Publication Status
Published online
Start Date
2021-01-18
Finish Date
2021-01-22
Coverage Spatial
Amsterdam
Date Publish Online
2020-12-18