Slovenská syntéza řeči z textu v systému ARTIC

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F04%3A00000065" target="_blank" >RIV/49777513:23520/04:00000065 - 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

Slovak text-to-speech synthesis in ARTIC system

Popis výsledku v původním jazyce

This paper presents a brand-new Slovak text-to-speech system. It was developed within the framework of ARTIC system (primarily designed to synthesize Czech speech) with respect to the knowledge of Slovak language. Thus, statistical approach (using hiddenMarkov models) was employed to build an acoustic unit inventory of Slovak language in a fully automatic way. Both phonetic transcription and prosodic rules were proposed to convert an input text to its phonetic form and to estimate its suprasegmental features. As a result, a fully working text-to speech system that converts an arbitrary Slovak text to the corresponding output speech was designed. The informal listening tests show the system is capable of producing speech of a high quality (with high level of intelligibility and good naturalness).

Název v anglickém jazyce

Slovak text-to-speech synthesis in ARTIC system

Popis výsledku anglicky

This paper presents a brand-new Slovak text-to-speech system. It was developed within the framework of ARTIC system (primarily designed to synthesize Czech speech) with respect to the knowledge of Slovak language. Thus, statistical approach (using hiddenMarkov models) was employed to build an acoustic unit inventory of Slovak language in a fully automatic way. Both phonetic transcription and prosodic rules were proposed to convert an input text to its phonetic form and to estimate its suprasegmental features. As a result, a fully working text-to speech system that converts an arbitrary Slovak text to the corresponding output speech was designed. The informal listening tests show the system is capable of producing speech of a high quality (with high level of intelligibility and good naturalness).

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název periodika

Lecture Notes in Artificial Intelligence

ISSN

0302-9743

e-ISSN

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Svazek periodika

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Číslo periodika v rámci svazku

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Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

8

Strana od-do

155

Kód UT WoS článku

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EID výsledku v databázi Scopus

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