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dc.contributor.authorVaňuš, Jan
dc.contributor.authorSmolon, Marek
dc.contributor.authorMartinek, Radek
dc.contributor.authorKoziorek, Jiří
dc.contributor.authorŽídek, Jan
dc.contributor.authorBilík, Petr
dc.date.accessioned2016-11-18T10:44:23Z
dc.date.available2016-11-18T10:44:23Z
dc.date.issued2015
dc.identifier.citationHuman-centric Computing and Information Sciences. 2015, vol. 5, art. no. 15.cs
dc.identifier.issn2192-1962
dc.identifier.urihttp://hdl.handle.net/10084/116395
dc.description.abstractThis article is aimed to describe the method of testing the implementation of voice control over operating and technical functions of Smart Home Come. Custom control over operating and technical functions was implemented into a model of Smart Home that was equipped with KNX technology. A sociological survey focused on the needs of seniors has been carried out to justify the implementation of voice control into Smart Home Care. In the real environment of Smart Home Care, there are usually unwanted signals and additive noise that negatively affect the voice communication with the control system. This article describes the addition of a sophisticated system for filtering the additive background noise out of the voice communication with the control system. The additive noise significantly lowers the success of recognizing voice commands to control operating and technical functions of an intelligent building. Within the scope of the proposed application, a complex system based on fuzzy-neuron networks, specifically the ANFIS (Adaptive Neuro-Fuzzy Interference System) for adaptive suppression of unwanted background noises was created. The functionality of the designed system was evaluated both by subjective and by objective criteria (SSNR, DTW). Experimental results suggest that the studied system has the potential to refine the voice control of technical and operating functions of Smart Home Care even in a very noisy environment.cs
dc.format.extent3519150 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofseriesHuman-centric Computing and Information Sciencescs
dc.relation.urihttp://dx.doi.org/10.1186/s13673-015-0035-0cs
dc.rights© 2015 Vanus et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectvoice recognitioncs
dc.subjectadditive noisecs
dc.subjectANFIScs
dc.subject.NET Frameworkcs
dc.subjectmicroprocessorcs
dc.subjectsynthesiscs
dc.subjectfieldbuscs
dc.subjectKNXcs
dc.subjectETScs
dc.subjectC#cs
dc.titleTesting of the voice communication in smart home carecs
dc.typearticlecs
dc.identifier.doi10.1186/s13673-015-0035-0
dc.rights.accessopenAccess
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume5cs
dc.description.firstpageart. no. 15cs
dc.identifier.wos000360336300001


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© 2015 Vanus et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
Except where otherwise noted, this item's license is described as © 2015 Vanus et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.