Phase-aware single-channel speech enhancement with modulation-domain Kalman filtering
File(s)
Accepted version
Author(s)
Dionelis, N
Brookes, DM
Type
Journal Article
Abstract
We present a speech enhancement algorithm that performs modulation-domain Kalman filtering to track the speech phase using circular statistics, along with the log-spectra of speech and noise. In the proposed algorithm, the speech phase posterior is used to create an enhanced speech phase spectrum for the signal reconstruction of speech. The Kalman filter prediction step separately models the temporal inter-frame correlation of the speech and noise spectral log-amplitudes and of the speech phase, while the Kalman filter update step models their nonlinear relations under the assumption that speech and noise add in the complex short-time Fourier transform domain. The phase-sensitive enhancement algorithm is evaluated with speech quality and intelligibility metrics, using a variety of noise types over a range of SNRs. Instrumental measures predict that tracking the speech log-spectrum and phase with modulation-domain Kalman filtering leads to consistent improvements in speech quality, over both conventional enhancement algorithms and other algorithms that perform modulation-domain Kalman filtering.
Date Issued
2018-05-01
Date Acceptance
2018-01-25
Citation
IEEE Transactions on Audio, Speech and Language Processing, 2018, 26 (5), pp.937-950
ISSN
1558-7916
Publisher
Institute of Electrical and Electronics Engineers
Start Page
937
End Page
950
Journal / Book Title
IEEE Transactions on Audio, Speech and Language Processing
Volume
26
Issue
5
Copyright Statement
© 2018 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.
Subjects
Science & Technology
Technology
Acoustics
Engineering, Electrical & Electronic
Engineering
Speech enhancement
speech phase
JOINT COMPENSATION
CONVOLUTIVE DISTORTIONS
NOISE
DEREVERBERATION
RECOGNITION
PREDICTION
FEATURES
ERROR
MODEL
Publication Status
Published
Date Publish Online
2018-01-31