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

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Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2021-01-15
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Mcode
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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.
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Tarkista bibliografiset tiedot, kun julkaistu.
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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