Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks
Loading...
Access rights
openAccess
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
Author
Date
2021-01-15
Major/Subject
Mcode
Degree programme
Language
en
Pages
7
Series
JASA Express Letters, Volume 1, issue 1
Abstract
Enhancement algorithms for wireless acoustic sensor networks (WASNs) are indispensable with the increasing availability and usage of connected devices with microphones. Conventional spatial filtering approaches for enhancement in WASNs approximate quantization noise with an additive Gaussian distribution, which limits performance due to the non-linear nature of quantization noise at lower bitrates. This work proposes a postfilter for enhancement based on Bayesian statistics to obtain a multidevice signal estimate, which explicitly models the quantization noise. The experiments using perceptual signal-to-noise ratio, perceptual evaluation of speech quality, and MUSHRA (multistimulus with hidden reference and anchors) scores demonstrate that the proposed postfilter can be used to enhance signal quality in ad hoc sensor networks.Description
Tarkista bibliografiset tiedot, kun julkaistu.
Keywords
Other note
Citation
Das , S & Bäckström , T 2021 , ' Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks ' , JASA Express Letters , vol. 1 , no. 1 , 015206 . https://doi.org/10.1121/10.0003208
