An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs

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dc.contributor.authorMatějů Lukášcs
dc.contributor.authorČerva Petrcs
dc.contributor.authorŽďánský Jindřichcs
dc.date.accessioned2020-06-08T09:47:44Z
dc.date.available07-24-2020en
dc.date.available2020-06-08T09:47:44Z
dc.date.issued2019-01-01cs
dc.date.updated18-37-2020en
dc.format.extent5cs
dc.identifier.doi10.21437/Interspeech.2019-1407
dc.identifier.issn2308457Xcs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/156410
dc.language.isoengcs
dc.publisherISCAcs
dc.publisher.cityAustriacs
dc.relation.ispartofProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECHen
dc.relation.ispartofseries1cs
dc.riv.kontrolni-cislo192185118cs
dc.riv.kontrolni-cislo192195123cs
dc.riv.specifikaceRIV/46747885:24220/19:00007161!RIV20-MSM-24220___cs
dc.riv.specifikaceRIV/46747885:24220/19:00007161!RIV20-TA0-24220___cs
dc.subjectConvolutional neural networkscs
dc.subjectDeep neural networkscs
dc.subjectReal-time processingcs
dc.subjectSpeaker change point detectioncs
dc.subjectWeighted finite state transducerscs
dc.titleAn Approach to Online Speaker Change Point Detection Using DNNs and WFSTsen
dc.titleAn Approach to Online Speaker Change Point Detection Using DNNs and WFSTscs
local.citation.epage649-653cs
local.citation.spage649-653cs
local.event.locationGraz Austriaen
local.identifier.publikace7161
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