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 article in proceedingsScientificpeer-review

1 Citation (Scopus)
216 Downloads (Pure)


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)
Number of pages5
ISBN (Electronic)978-9-0827-9706-0
Publication statusPublished - Sept 2021
MoE publication typeA4 Conference publication
EventEuropean Signal Processing Conference - Dublin, Ireland, 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


ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO


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