Current State of Text-to-Speech System ARTIC: A Decade of Research on the Field of Speech Technologies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952597" target="_blank" >RIV/49777513:23520/18:43952597 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-00794-2_40" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-00794-2_40</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-00794-2_40" target="_blank" >10.1007/978-3-030-00794-2_40</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Current State of Text-to-Speech System ARTIC: A Decade of Research on the Field of Speech Technologies

Popis výsledku v původním jazyce

This paper provides a survey of the current state of ARTIC – the modern Czech concatenative corpus-based text-to-speech system. Through more than a decade of research &amp; development in the field of speech technologies and applications, the system was enriched with new languages (and, as a consequence, language-dependent NLP methods), and its speech generation capabilities were significantly improved when new progressive speech generation modules (SPS, DNN, HSS) were (and are still being to) designed and incorporated into it. Also, ARTIC has to deal with various requirements on data used to generate speech from, ranging in size, quality and domain of the output speech, while there always was the requirement to achieve the highest quality in terms of both naturalness and intelligibility. Thus, the paper summarizes some of the most significant achievements and demanding tasks which had to be tackled by the system, illustrating the universality and flexibility of this Czech TTS system.

Název v anglickém jazyce

Current State of Text-to-Speech System ARTIC: A Decade of Research on the Field of Speech Technologies

Popis výsledku anglicky

This paper provides a survey of the current state of ARTIC – the modern Czech concatenative corpus-based text-to-speech system. Through more than a decade of research &amp; development in the field of speech technologies and applications, the system was enriched with new languages (and, as a consequence, language-dependent NLP methods), and its speech generation capabilities were significantly improved when new progressive speech generation modules (SPS, DNN, HSS) were (and are still being to) designed and incorporated into it. Also, ARTIC has to deal with various requirements on data used to generate speech from, ranging in size, quality and domain of the output speech, while there always was the requirement to achieve the highest quality in terms of both naturalness and intelligibility. Thus, the paper summarizes some of the most significant achievements and demanding tasks which had to be tackled by the system, illustrating the universality and flexibility of this Czech TTS system.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/TH02010307" target="_blank" >TH02010307: Automatická konzervace a rekonstrukce hlasu se zaměřením na pacienty po totální laryngektomii</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Text, Speech, and Dialogue 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018, Proceedings

ISBN

978-3-030-00793-5

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

10

Strana od-do

369-378

Název nakladatele

Springer Nature Switzerland AG

Místo vydání

Cham

Místo konání akce

Brno, Czech Republic

Datum konání akce

11. 9. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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