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dc.contributor.authorMartinek, Radek
dc.contributor.authorBaroš, Jan
dc.contributor.authorJaroš, René
dc.contributor.authorDanys, Lukáš
dc.contributor.authorNedoma, Jan
dc.date.accessioned2022-07-08T11:31:23Z
dc.date.available2022-07-08T11:31:23Z
dc.date.issued2022
dc.identifier.citationComputers, Materials & Continua. 2022, vol. 71, issue 3, p. 4659-4676.cs
dc.identifier.issn1546-2218
dc.identifier.issn1546-2226
dc.identifier.urihttp://hdl.handle.net/10084/146349
dc.description.abstractThis pilot study focuses on employment of hybrid LMS-ICA system for in-vehicle background noise reduction. Modern vehicles are nowadays increasingly supporting voice commands, which are one of the pillars of autonomous and SMART vehicles. Robust speaker recognition for contextaware in-vehicle applications is limited to a certain extent by in-vehicle background noise. This article presents the new concept of a hybrid system, which is implemented as a virtual instrument. The highly modular concept of the virtual car used in combination with real recordings of various driving scenarios enables effective testing of the investigated methods of in-vehicle background noise reduction. The study also presents a unique concept of an adaptive system using intelligent clusters of distributed next generation 5G data networks, which allows the exchange of interference information and/or optimal hybrid algorithm settings between individual vehicles. On average, the unfiltered voice commands were successfully recognized in 29.34% of all scenarios, while the LMS reached up to 71.81%, and LMS-ICA hybrid improved the performance further to 73.03%.cs
dc.language.isoencs
dc.publisherTech Science Presscs
dc.relation.ispartofseriesComputers, Materials & Continuacs
dc.relation.urihttps://doi.org/10.32604/cmc.2022.019904cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subject5G noise reductioncs
dc.subjecthybrid algorithmscs
dc.subjectspeech recognitioncs
dc.subject5G data networkscs
dc.subjectin-vehicle background noisecs
dc.titleHybrid in-vehicle background noise reduction for robust speech recognition: The possibilities of next generation 5G data networkscs
dc.typearticlecs
dc.identifier.doi10.32604/cmc.2022.019904
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume71cs
dc.description.issue3cs
dc.description.lastpage4676cs
dc.description.firstpage4659cs
dc.identifier.wos000752224900002


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