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dc.contributor.authorPřibil, Jiří
dc.contributor.authorPřibilová, Anna
dc.contributor.authorMatoušek, Jindřich
dc.date.accessioned2021-02-22T11:00:22Z-
dc.date.available2021-02-22T11:00:22Z-
dc.date.issued2020
dc.identifier.citationPŘIBIL, J., PŘIBILOVÁ, A., MATOUŠEK, J. Synthetic Speech Evaluation by Differential Maps in Pleasure-Arousal Space. In: Speech and Computer 22nd International Conference, SPECOM 2020, St. Petersburg, Russia, October 7-9, 2020, Proceedings. Cham: Springer, 2020. s. 424-434. ISBN 978-3-030-60275-8, ISSN 0302-9743.cs
dc.identifier.isbn978-3-030-60275-8
dc.identifier.issn0302-9743
dc.identifier.uri2-s2.0-85092895944
dc.identifier.urihttp://hdl.handle.net/11025/42728
dc.format11 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesSpeech and Computer 22nd International Conference, SPECOM 2020, St. Petersburg, Russia, October 7-9, 2020, Proceedingsen
dc.rightsPlný text není přístupný.cs
dc.rights© Springeren
dc.titleSynthetic Speech Evaluation by Differential Maps in Pleasure-Arousal Spaceen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessclosedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe paper deals with automatic evaluation of the quality of synthetic speech using Gaussian mixture models (GMM) for classification in the Pleasure-Arousal (P-A) scale and subsequently calculated 2D and 3D P-A differentials maps. The speech synthesized from the voice of a speaker is compared with the original voice of the same speaker. Three methods of speech synthesis are ordered by descending 3D perceptual distances from the original speech material. Basic experiments confirm the principal functionality of the developed system. The detailed analysis shows a great influence of the number of mixture components, the size of the processed speech material, and the type of the database for GMM creation on partial results of the continual P-A detection and the final results. The objective evaluation results are finally compared with the subjective ratings by human evaluators.en
dc.subject.translatedGMM classificationen
dc.subject.translatedObjective and subjective evaluationen
dc.subject.translatedQuality of synthetic speechen
dc.identifier.doi10.1007/978-3-030-60276-5_41
dc.type.statusPeer-revieweden
dc.identifier.obd43930827
dc.project.IDGA19-19324S/Plně trénovatelná syntéza české řeči z textu s využitím hlubokých neuronových sítícs
Appears in Collections:Konferenční příspěvky / Conference papers (NTIS)
Konferenční příspěvky / Conference Papers (KKY)
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