Improving automatic dubbing with subtitle timing optimisation using video cut detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43917826" target="_blank" >RIV/49777513:23520/12:43917826 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Improving automatic dubbing with subtitle timing optimisation using video cut detection
Original language description
This paper presents improvements to an automatic dubbing system in which text-to-speech technology is used to synthesise speech from subtitles. Spring-based subtitle timing optimisation was proposed to reduce the need for speeding up synthetic speech tofit it into corresponding subtitle slots. Video cut detection algorithm was also introduced, and the cuts were then used to prevent stretching subtitles across the cuts. Results show that after the optimisation smaller speeding-up factors are applied onsynthetic speech while keeping optimised subtitle start and end times close to original positions.
Czech name
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Czech description
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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)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
ISBN
978-1-4673-0046-9
ISSN
1520-6149
e-ISSN
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Number of pages
4
Pages from-to
2385-2388
Publisher name
IEEE
Place of publication
New York
Event location
Kyoto, Japan
Event date
Mar 25, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312381402118

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