Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/38479
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dc.contributor.authorBinder, Jens F.-
dc.contributor.authorBowen, Richard-
dc.date.accessioned2021-09-29T13:13:13Z-
dc.date.available2021-09-29T13:13:13Z-
dc.date.issued2021-
dc.date.submitted2021-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/38725-
dc.identifier.urihttp://dx.doi.org/10.25673/38479-
dc.language.isoeng-
dc.relation.ispartofhttps://opendata.uni-halle.de//handle/1981185920/38717-
dc.relation.urihttps://opendata.uni-halle.de//handle/1981185920/38717-
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/-
dc.subjectSpeech-based technologyeng
dc.subjectInterdisciplinarityeng
dc.subjectSocial scienceeng
dc.subjectHumanitieseng
dc.subjectConceptualizationeng
dc.subjectMethodologyeng
dc.subject.ddc006.35-
dc.titleMemory performance and text-to-speech functionality : a case for evidence-driven customization?eng
dc.typeConference Object-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-1981185920-387250-
local.versionTypepublishedVersion-
local.openaccesstrue-
dc.identifier.ppn1771713208-
local.bibliographicCitation.year2021-
cbs.sru.importDate2021-09-23T10:01:21Z-
local.bibliographicCitationEnthalten in 1st AI-DEbate Workshop, 2021-
local.accessrights.dnbfree-
Appears in Collections:Fakultät für Elektrotechnik und Informationstechnik (OA)

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