Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks

Sneha Das, Tom Bäckström

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
31 Downloads (Pure)


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.

Original languageEnglish
Article number015206
Number of pages7
JournalJASA Express Letters
Issue number1
Publication statusPublished - 15 Jan 2021
MoE publication typeA1 Journal article-refereed


Dive into the research topics of 'Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks'. Together they form a unique fingerprint.

Cite this