Study on the use and adaptation of bottleneck features for robust speech recognition of nonlinearly distorted speech

Simple item page
dc.contributor.authorMálek Jiřícs
dc.contributor.authorČerva Petrcs
dc.contributor.authorŠeps Ladislavcs
dc.contributor.authorNouza Jancs
dc.date.accessioned2018-09-25T11:45:56Z
dc.date.available2018-09-25T11:45:56Z
dc.date.issued2016cs
dc.format.extent7cs
dc.identifier.doi10.5220/0005955500650071
dc.identifier.isbn978-989-758-196-0cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/27007
dc.language.isoengcs
dc.publisherSciTePresscs
dc.publisher.cityLisabon, Portugalskocs
dc.relation.ispartofseries0cs
dc.subjectAutomatic speech recognitioncs
dc.subjectnonlinear speech distortioncs
dc.subjectbottleneck featurescs
dc.titleStudy on the use and adaptation of bottleneck features for robust speech recognition of nonlinearly distorted speechen
dc.titleStudy on the use and adaptation of bottleneck features for robust speech recognition of nonlinearly distorted speechcs
local.citation.epage65-71cs
local.citation.spage65-71cs
local.identifier.publikace301
local.identifier.wok000391091400006en
Files
Collections