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Matoušek, J and Vít, J. : Improving Automatic Dubbing with Subtitle Timing Optimisation Using Video Cut Detection . Proceedings of Internat. Conf. on Acoustics, Audio and Speech Process. (ICASSP) 2012, Kyoto, Japan, 2012.

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Abstrakt

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 to fit 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 on synthetic speech while keeping optimised subtitle start and end times close to original positions.

Detail publikace

Název: Improving Automatic Dubbing with Subtitle Timing Optimisation Using Video Cut Detection
Autor: Matoušek, J ; Vít, J.
Název - česky: Vylepšování automatického dabingu optimalizací časování titulků pomocí detekce střihů
Jazyk publikace: anglicky
Datum vydání: 25.3.2012
Rok vydání: 2012
Typ publikace: Stať ve sborníku
Název knihy: Proceedings of Internat. Conf. on Acoustics, Audio and Speech Process. (ICASSP) 2012
Místo vydání: Kyoto, Japan
Datum: 25.3.2012 - 30.3.2012
/ 2019-09-05 16:03:54 /

Klíčová slova

text-to-speech, automatic dubbing, video cut detection, subtitle timing optimisation, spring-based model

BibTeX

@INPROCEEDINGS{MatousekJ_2012_ImprovingAutomatic,
 author = {Matou\v{s}ek, J and V\'{i}t, J.},
 title = {Improving Automatic Dubbing with Subtitle Timing Optimisation Using Video Cut Detection},
 year = {2012},
 address = {Kyoto, Japan},
 booktitle = {Proceedings of Internat. Conf. on Acoustics, Audio and Speech Process. (ICASSP) 2012},
 url = {http://www.kky.zcu.cz/en/publications/MatousekJ_2012_ImprovingAutomatic},
}