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rdf:type
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Description
| - V článku se zkoumají možnosti minimalizace databáze řečových jednotek za účelem získání kompaktní databáze řečových jednotek, která bude poskytovat syntetickou řeč %22rozumné kvality%22 také pro zařízení s menšími systémovými zdroji. Zaměřili jsme se zejména na přípravu databáze řečových jednotek s využitím HMM, plně automatický proces, který připravuje soubor kontextově závislých fonů (trifonů) pomocí modelování HMM, shlukování založeného na CART a segmentace s využitím HMM V článku jsou popsány tři experimenty: první experiment se týká velikosti zdrojového řečového korpusu, druhý experiment se zabývá procesem shlukování trifo (cs)
- In this paper, minimization of speech unit database is researched in order to have a compact speech unit database yielding a %22good enough%22 synthetic speech usable also for low-resource devices. We focused mainly on HMM-based speech unit database preparation, a process which prepares a set of context-dependent phones (triphones) by means of HMM modelling, CART-based clustering, and HMM-based segmentation in a fully automatic way. Three experiments are described in the paper: the first one concerns the size of the source speech corpus, the second one deals with the triphone clustering process, and the last one concerns the modelling of the cross-word dependencies. The final minimised system exploits techniques used in all three experiments. The size of the resulting speech unit database decreased from 28.1 to 1.6 MB. The resulting synthetic speech was then judged by means of CCR listening tests and evaluated as %22slightly worse%22 than speech generated by the baseline system.
- In this paper, minimization of speech unit database is researched in order to have a compact speech unit database yielding a %22good enough%22 synthetic speech usable also for low-resource devices. We focused mainly on HMM-based speech unit database preparation, a process which prepares a set of context-dependent phones (triphones) by means of HMM modelling, CART-based clustering, and HMM-based segmentation in a fully automatic way. Three experiments are described in the paper: the first one concerns the size of the source speech corpus, the second one deals with the triphone clustering process, and the last one concerns the modelling of the cross-word dependencies. The final minimised system exploits techniques used in all three experiments. The size of the resulting speech unit database decreased from 28.1 to 1.6 MB. The resulting synthetic speech was then judged by means of CCR listening tests and evaluated as %22slightly worse%22 than speech generated by the baseline system. (en)
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Title
| - On Minimizing the Size of Speech Unit Database in Concatenative Speech Synthesis
- On Minimizing the Size of Speech Unit Database in Concatenative Speech Synthesis (en)
- Minimalizace velikosti databáze řečových jednotek v úloze konkatenační syntézy řeči (cs)
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skos:prefLabel
| - On Minimizing the Size of Speech Unit Database in Concatenative Speech Synthesis
- On Minimizing the Size of Speech Unit Database in Concatenative Speech Synthesis (en)
- Minimalizace velikosti databáze řečových jednotek v úloze konkatenační syntézy řeči (cs)
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skos:notation
| - RIV/49777513:23520/06:00000105!RIV07-GA0-23520___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(2C06020), P(GA102/05/0278)
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/49777513:23520/06:00000105
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - speech synthesis; minimization of speech unit database; HMM modelling; HMM-based segmentation; CART clustering (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Ústav radiotechniky a elektroniky AV ČR
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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