Skip to content

Detail of publication

Citation

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.

Download PDF

PDF

Additional information


IEEEXplore

Abstract

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 of publication

Title: Improving Automatic Dubbing with Subtitle Timing Optimisation Using Video Cut Detection
Author: Matoušek, J ; Vít, J.
Language: English
Date of publication: 25 Mar 2012
Year: 2012
Type of publication: Papers in proceedings of reviewed conferences
Book title: Proceedings of Internat. Conf. on Acoustics, Audio and Speech Process. (ICASSP) 2012
Address: Kyoto, Japan
Date: 25 Mar 2012 - 30 Mar 2012
/ 2013-01-27 22:10:05 /

Keywords

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},
}