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Recognition of human speech using q-Bernstein polynomials

dc.contributor.authorKaracı, Abdulkadir
dc.contributor.authorBüyükyazıcı, İbrahim
dc.contributor.authorAktümen, Muharrem
dc.date.accessioned2026-01-02T13:51:14Z
dc.date.issued2010-06-10
dc.description.abstractRecognition of human speech has long been a hot topic among artificial intelligence and signal processing researchers. In this paper, Pattern recognition and q-Bernstein polynomials have been combined to create computer software designed for the recognition of human speech, and the main principles of speech recognition have been explained in a systematic content. qBernstein polynomials, which are mathematical operators, have been applied for pattern recognition, and a new method has thus been developed. Software has been prepared using the Delphi 7 programming language, and with this software, this method has been applied for the processing of verbal expression recognition. In the program as developed, 16 000 samples of 8-bit stereo images were computerized. Speech recognition tests were conducted for six words, and information related to the results of this test is provided in this paper.
dc.description.urihttps://doi.org/10.5120/666-934
dc.description.urihttps://dx.doi.org/10.5120/666-934
dc.identifier.doi10.5120/666-934
dc.identifier.eissn0975-8887
dc.identifier.endpage28
dc.identifier.openairedoi_dedup___::4b07a50223bfed246e968bb69a575edc
dc.identifier.orcid0000-0002-2430-1372
dc.identifier.startpage22
dc.identifier.urihttps://hdl.handle.net/20.500.12597/35491
dc.identifier.volume2
dc.publisherFoundation of Computer Science
dc.relation.ispartofInternational Journal of Computer Applications
dc.rightsOPEN
dc.titleRecognition of human speech using q-Bernstein polynomials
dc.typeArticle
dspace.entity.typePublication
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