Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Přibil, Jiří | |
dc.contributor.author | Přibilová, Anna | |
dc.contributor.author | Matoušek, Jindřich | |
dc.date.accessioned | 2017-05-30T06:57:42Z | |
dc.date.available | 2017-05-30T06:57:42Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | PĹIBIL, JiĹ™Ă; PĹIBILOVĂ, Anna; MATOUĹ EK, JindĹ™ich. GMM classification of text-to-speech synthesis: identification of original speaker’s voice. In: Text, speech and dialogue. Berlin: Springer, 2014, p. 365-373. (Lecture notes in artificial intelligence; 8655). ISBN 978-3-319-10815-5. | en |
dc.identifier.isbn | 978-3-319-10815-5 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/11025/26010 | |
dc.format | 9 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Springer | cs |
dc.relation.ispartofseries | Lecture notes in artificial intelligence; 8655 | en |
dc.rights | © Springer | en |
dc.subject | syntéza řeči | cs |
dc.subject | GMM klasifikace | cs |
dc.subject | statistická analýza | cs |
dc.title | GMM classification of text-to-speech synthesis: identification of original speaker’s voice | en |
dc.title.alternative | Klasifikace syntĂ©zy Ĺ™eÄŤi z textu pomocĂ GMM: Identifikace pĹŻvodnĂho hlasu Ĺ™eÄŤnĂka | cs |
dc.type | článek | cs |
dc.type | article | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.description.abstract-translated | This paper describes two experiments. The first one deals with evaluation of synthetic speech quality by reverse identification of original speakers whose voices had been used for several Czech text-to-speech (TTS) systems. The second experiment was aimed at evaluation of the influence of voice transformation on the original speaker recognition. The paper further describes an analysis of the influence of initial settings for creation and training of the Gaussian mixture models (GMM), and the influence of different types of used speech features (spectral and/or supra-segmental) on correctness of GMM identification. The stability of the identification process with respect to the duration of the tested sentence (number of the processed frames) was analysed, too. | en |
dc.subject.translated | speech synthesis | en |
dc.subject.translated | GMM classification | en |
dc.subject.translated | statistical analysis | en |
dc.identifier.doi | 10.1007/978-3-319-10816-2_44 | |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | Články / Articles (KIV) |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
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Pribil.pdf | Plný text | 569,11 kB | Adobe PDF | Zobrazit/otevřít |
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http://hdl.handle.net/11025/26010
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