Robust Recognition of Conversational Telephone Speech via Multi-Condition Training and Data Augmentation

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dc.contributor.authorMálek Jiřícs
dc.contributor.authorŽďánský Jindřichcs
dc.contributor.authorČerva Petrcs
dc.date.accessioned2020-06-08T09:38:36Z
dc.date.available15-20-2019en
dc.date.available2020-06-08T09:38:36Z
dc.date.issued2018cs
dc.date.updated20-47-2019en
dc.format.extent10cs
dc.identifier.doi10.1007/978-3-030-00794-2_35
dc.identifier.isbn978-303000793-5cs
dc.identifier.issn3029743cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/155531
dc.language.isoengcs
dc.publisherSpringer Verlagcs
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 21st International Conference on Text, Speech, and Dialogue, TSD 2018en
dc.relation.ispartofseries0cs
dc.riv.kontrolni-cislo192066810cs
dc.riv.specifikaceRIV/46747885:24220/18:00006134!RIV19-TA0-24220___cs
dc.subjectCompressioncs
dc.subjectConversational speechcs
dc.subjectData augmentationcs
dc.subjectMulti-conditional trainingcs
dc.titleRobust Recognition of Conversational Telephone Speech via Multi-Condition Training and Data Augmentationcs
dc.titleRobust Recognition of Conversational Telephone Speech via Multi-Condition Training and Data Augmentationen
local.citation.epage324-333cs
local.citation.spage324-333cs
local.event.locationBrno, Czech Republicen
local.identifier.publikace6134
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