Fast Randomization for Distributed Low-Bitrate Coding of Speech and Audio

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Backstrom, Tom
dc.contributor.author Fischer, Johannes
dc.date.accessioned 2018-08-21T13:43:12Z
dc.date.available 2018-08-21T13:43:12Z
dc.date.issued 2018-01
dc.identifier.citation Backstrom , T & Fischer , J 2018 , ' Fast Randomization for Distributed Low-Bitrate Coding of Speech and Audio ' IEEE/ACM Transactions on Audio Speech and Language Processing , vol 26 , no. 1 , pp. 19-30 . DOI: 10.1109/TASLP.2017.2757601 en
dc.identifier.issn 2329-9290
dc.identifier.issn 2329-9304
dc.identifier.other PURE UUID: 238136e5-8df9-4d92-a9e8-4edebba32aa6
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/fast-randomization-for-distributed-lowbitrate-coding-of-speech-and-audio(238136e5-8df9-4d92-a9e8-4edebba32aa6).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85030764240&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/27158975/ELEC_backstrom_et_al_Fast_randomization.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/33466
dc.description.abstract Efficient coding of speech and audio in a distributed system requires that quantization errors across nodes are uncorrelated. Yet with conventional methods at low bitrates, quantization levels become increasingly sparse, which does not correspond to the distribution of the input signal and importantly, also reduces coding efficiency in a distributed system. We have recently proposed a distributed speech and audio codec design which applies quantization in a randomized domain such that quantization errors are randomly rotated in the output domain. Similar to dithering, this ensures that quantization errors across nodes are uncorrelated and coding efficiency is retained. In this paper we improve this approach by proposing faster randomization methods, with a computational complexity O(N log N). Presented experiments demonstrate that the proposed randomizations yield uncorrelated signals, that perceptual quality is competitive and that the complexity of the proposed methods is feasible for practical applications. en
dc.format.extent 11
dc.format.extent 19-30
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries IEEE/ACM Transactions on Audio Speech and Language Processing en
dc.relation.ispartofseries Volume 26, issue 1 en
dc.rights openAccess en
dc.subject.other Signal Processing en
dc.subject.other Media Technology en
dc.subject.other Instrumentation en
dc.subject.other Acoustics and Ultrasonics en
dc.subject.other Linguistics and Language en
dc.subject.other Electrical and Electronic Engineering en
dc.subject.other Speech and Hearing en
dc.subject.other 213 Electronic, automation and communications engineering, electronics en
dc.title Fast Randomization for Distributed Low-Bitrate Coding of Speech and Audio en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Signal Processing and Acoustics
dc.contributor.department Friedrich-Alexander University Erlangen-Nürnberg
dc.subject.keyword audio coding
dc.subject.keyword Codecs
dc.subject.keyword Complexity theory
dc.subject.keyword distributed coding
dc.subject.keyword orthonormal matrix
dc.subject.keyword Quantization (signal)
dc.subject.keyword randomization
dc.subject.keyword Speech
dc.subject.keyword Speech coding
dc.subject.keyword speech coding
dc.subject.keyword Speech processing
dc.subject.keyword superfast algorithm
dc.subject.keyword Signal Processing
dc.subject.keyword Media Technology
dc.subject.keyword Instrumentation
dc.subject.keyword Acoustics and Ultrasonics
dc.subject.keyword Linguistics and Language
dc.subject.keyword Electrical and Electronic Engineering
dc.subject.keyword Speech and Hearing
dc.subject.keyword 213 Electronic, automation and communications engineering, electronics
dc.identifier.urn URN:NBN:fi:aalto-201808214599
dc.identifier.doi 10.1109/TASLP.2017.2757601
dc.type.version acceptedVersion


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