REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA01011264" target="_blank" >TA01011264: Elimination of the language barriers faced by the handicapped watchers of the Czech Television II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings,12th International Conference on Signal Processing
ISBN
978-1-4799-2188-1
ISSN
2164-5221
e-ISSN
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Number of pages
5
Pages from-to
494-499
Publisher name
IEEE
Place of publication
Beijing
Event location
HangZhou, CHINA
Event date
Oct 19, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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