REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43923362" target="_blank" >RIV/49777513:23520/14:43923362 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7015054&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7015054" target="_blank" >http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7015054&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7015054</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICOSP.2014.7015054" target="_blank" >10.1109/ICOSP.2014.7015054</a>

Jazyk výsledku

angličtina

Název v původním jazyce

REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS

Popis výsledku v původním jazyce

This paper is focused on reducing the size of speech corpora that are used in the unit-selection-based TTS systems. The size of a speech corpus influences the system requirements like storage and memory demands and computational complexity. For high quality speech synthesis, the speech corpus usually consists of several thousands of sentences. Thus an appropriate reduction of the corpus size is likely to lead to a decrease in the system requirements. In this work, a comparison of impacts on synthetic speech quality is presented when removing specific instances of different linguistic segment types from the original corpus. Removal of the following segment types is used and compared with each other: whole sentences, phrases, words, and diphones. Only segments with rarely selected units are removed from the corpus so that the resulting footprint size reaches a predefined value. Results confirm that synthetic speech generated by the TTS systems using the reduced corpora is of a slightly w

Název v anglickém jazyce

REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS

Popis výsledku anglicky

This paper is focused on reducing the size of speech corpora that are used in the unit-selection-based TTS systems. The size of a speech corpus influences the system requirements like storage and memory demands and computational complexity. For high quality speech synthesis, the speech corpus usually consists of several thousands of sentences. Thus an appropriate reduction of the corpus size is likely to lead to a decrease in the system requirements. In this work, a comparison of impacts on synthetic speech quality is presented when removing specific instances of different linguistic segment types from the original corpus. Removal of the following segment types is used and compared with each other: whole sentences, phrases, words, and diphones. Only segments with rarely selected units are removed from the corpus so that the resulting footprint size reaches a predefined value. Results confirm that synthetic speech generated by the TTS systems using the reduced corpora is of a slightly w

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/TA01011264" target="_blank" >TA01011264: Eliminace jazykových bariér handicapovaných diváků České televize II</a><br>

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings,12th International Conference on Signal Processing

ISBN

978-1-4799-2188-1

ISSN

2164-5221

e-ISSN

—

Počet stran výsledku

5

Strana od-do

494-499

Název nakladatele

IEEE

Místo vydání

Beijing

Místo konání akce

HangZhou, CHINA

Datum konání akce

19. 10. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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