Towards inherent error-resilient voice encoding schemes in audio sensor networks

Okan Türkes, Sebnem Baydere

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

    2 Citations (Scopus)
    22 Downloads (Pure)


    Recently, multimedia utilization in Wireless Sensor Networks (WSN) has shown that robust encoding methods are imperative for any application requiring a certain level of quality. During ubiquitous data exploitation in these lossy networks, a data-conserving method coherent with coding and transmission scheme is essential. This study centers upon several basic reconstruction methods for unapprehended parts in the voice data gathered at the end-point of a real multi-hop Audio Sensor Network (ASN). Considering gathered voice signals, error concealment (EC) methods are inherently applied over lost packets in the testbed. Around 6,000 real single-path transmission tests are verified with an instrumental simulation. Besides, EC schemes are supported with a multi-path transmission in which data aggregation occurs at certain intervals. Nearly 300,000 qualitative results show that perceptual quality can be preserved promisingly with the utilization of low cost affordable correction techniques.
    Original languageUndefined
    Title of host publicationProceedings of the Seventh ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization (WiNTECH 2012)
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages8
    ISBN (Print)978-1-4503-1527-2
    Publication statusPublished - 22 Aug 2012

    Publication series



    • METIS-296083
    • EWI-22214
    • IR-81813

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