Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Matoušek, Jindřich | |
dc.contributor.author | Tihelka, Daniel | |
dc.contributor.author | Psutka, Josef | |
dc.contributor.author | Hesová, Jana | |
dc.date.accessioned | 2015-12-16T13:51:46Z | - |
dc.date.available | 2015-12-16T13:51:46Z | - |
dc.date.issued | 2002 | |
dc.identifier.citation | MATOUŠEK, Jindřch; TIHELKA, Daniel; PSUTKA, Josef; HESOVÁ, Jana. German and czech speech synthesis using HMM-based speech segment database. In: Text, speech and dialogue. Berlin: Springer, 2002, p. 173-180. (Lecture notes in computer science; 2448). ISBN 3-540-44129-8. | en |
dc.identifier.isbn | 3-540-44129-8 | |
dc.identifier.uri | http://www.kky.zcu.cz/cs/publications/MatousekJ_2002_GermanandCzech | |
dc.identifier.uri | http://hdl.handle.net/11025/17032 | |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Springer | en |
dc.relation.ispartofseries | Lecture notes in computer science; 2448 | en |
dc.rights | © Jindřichich Matoušek - Daniel Tihelka - Josef Psutka - Jana Hesová | cs |
dc.subject | syntéza řeči | cs |
dc.subject | skryté Markovovy modely | cs |
dc.subject | HMM | cs |
dc.title | German and czech speech synthesis using HMM-based speech segment database | en |
dc.title.alternative | Syntéza německé a české řeči s využitím databáze řečových jednotek založených na HMM | 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 presents an experimental German speech synthesis system. As in case of a Czech text-to-speech system ARTIC, statistical approach (using hidden Markov models) was employed to build a speech segment database. This approach was confirmed to be language independent and it was shown to be capable of designing a quality database that led to an intelligible synthetic speech of a high quality. Some experiments with clustering the similar speech contexts were performed to enhance the quality of the synthetic speech. Our results show the superiority of phoneme-level clustering to subphoneme-level one. | en |
dc.subject.translated | speech synthesis | en |
dc.subject.translated | hidden Markov models | en |
dc.subject.translated | HMM | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | Články / Articles (KKY) Články / Articles (NTIS) Články / Articles (KIV) |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
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MatousekJ_2002_GermanandCzech.pdf | Plný text | 459,84 kB | Adobe PDF | Zobrazit/otevřít |
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http://hdl.handle.net/11025/17032
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