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dc.contributor.authorPfeifer, Václav
dc.contributor.authorBalík, Miroslav
dc.date.accessioned2012-01-06T14:30:08Z
dc.date.available2012-01-06T14:30:08Z
dc.date.issued2011
dc.identifier.citationAdvances in electrical and electronic engineering. 2011, vol. 9, no. 5, p. 243-250.cs
dc.identifier.issn1804-3119
dc.identifier.urihttp://hdl.handle.net/10084/89800
dc.description.abstractThis paper compares today’s most common frame-based classifiers. These classifiers can be divided into the two main groups – generic classifiers which creates the most probable model based on the training data (for example GMM) and discriminative classifiers which focues on creating decision hyperplane. A lot of research has been done with the GMM classifiers and therefore this paper will be mainly focused on the frame-based classifiers. Two discriminative classifiers will be presented. These classifiers implements a hieararchical tree root structure over the input phoneme group which shown to be an effective. Based on these classifiers, two efficient training algorithms will be presented. We demonstrate advantages of our training algorithms by evaluating all classifiers over the TIMIT speech corpus.cs
dc.format.extent143718 bytescs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.relation.ispartofseriesAdvances in electrical and electronic engineeringcs
dc.relation.urihttp://advances.utc.sk/index.php/AEEE/article/download/545/734cs
dc.rights© Vysoká škola báňská - Technická univerzita Ostrava
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.subjectclassifiercs
dc.subjectcomparisoncs
dc.subjectframe-basedcs
dc.subjectphonemecs
dc.subjectspeechcs
dc.subjecthierarchicalcs
dc.titleComparison of current frame-based phoneme classifierscs
dc.typearticlecs
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs


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