HMM-based Speech Synthesis: Fist Experiments for the Czech Language

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00504556" target="_blank" >RIV/49777513:23520/10:00504556 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

HMM-based Speech Synthesis: Fist Experiments for the Czech Language

Popis výsledku v původním jazyce

In this paper, first experiments on statistical parametric HMM-based speech synthesis for the Czech language are described. For speech representation, two different analysis/synthesis methods were employed: traditional Mel cepstral analysis and a high-quality analysis/synthesis method STRAIGHT. Regarding the prosodic and linguistic characteristics of the Czech language, a basic set of contextual factors was proposed. Our experiments showed that disregarding syllabic structure of speech has an insignificant influence on resulting speech quality. The effect of training data amount was also studied. Results indicate, that our experimental HMM-based TTS system can produce speech of a similar quality as unit selection-based TTS system trained with a largeramount of speech data. Furthermore some simple experiments with the adaptation of trained HMMs were performed. In this manner new voices could be obtained with significantly lower amount of speech data.

Název v anglickém jazyce

HMM-based Speech Synthesis: Fist Experiments for the Czech Language

Popis výsledku anglicky

In this paper, first experiments on statistical parametric HMM-based speech synthesis for the Czech language are described. For speech representation, two different analysis/synthesis methods were employed: traditional Mel cepstral analysis and a high-quality analysis/synthesis method STRAIGHT. Regarding the prosodic and linguistic characteristics of the Czech language, a basic set of contextual factors was proposed. Our experiments showed that disregarding syllabic structure of speech has an insignificant influence on resulting speech quality. The effect of training data amount was also studied. Results indicate, that our experimental HMM-based TTS system can produce speech of a similar quality as unit selection-based TTS system trained with a largeramount of speech data. Furthermore some simple experiments with the adaptation of trained HMMs were performed. In this manner new voices could be obtained with significantly lower amount of speech data.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/2C06020" target="_blank" >2C06020: Eliminace jazykových bariér handicapovaných diváků České televize</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Speech Processing

ISBN

978-80-86269-21-4

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

Institute of Photonics and Electronics Academy of Sciences of the Czech Republic, Prague

Místo vydání

Prague

Místo konání akce

Praha

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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