PyAWNeS-Codec: Speech and audio codec for ad-hoc acoustic wireless sensor networks

Tom Bäckström, Mariem Bouafif, Pablo Perez Zarazaga, Meghna Ranjit, Sneha Das, Zied Lachiri

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

Existing hardware with microphones can potentially be used as sensor networks to capture speech and audio signals for the benefit of better signal quality than possible with a single microphone. A central pre-requisite for such ad-hoc acoustic wireless sensor networks (ASWNs) is an efficient communication protocol with which to transmit audio data between nodes. For that purpose, we present the world's-first speech and audio codec especially designed for ASWNs, which has competitive quality also in single-channel operation. To ensure quality in the single-channel scenario, it closely resembles conventional codecs of the TCX-type, but extended with features to facilitate multi-device operation, including dithered quantization, delay estimation and compensation, as well as multi-channel post-filtering. The codec is intended to become a baseline for future research and we therefore provide it as an open-access library. Our experiments confirm that performance is in the same range as recent commercial single-channel codecs and that added devices improve quality.
Original languageEnglish
Title of host publicationProceedings of the European Signal Processing Conference 2021 (EUSIPCO)
PublisherIEEE
Number of pages5
Publication statusPublished - Sep 2021
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Dublin, Ireland
Duration: 23 Aug 202127 Aug 2021
Conference number: 29

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491
ISSN (Electronic)2076-1465

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
Country/TerritoryIreland
CityDublin
Period23/08/202127/08/2021

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