Title :
Improving automatic dubbing with subtitle timing optimisation using video cut detection
Author :
Jindřich Matoušek;Jakub Vít
Author_Institution :
University of West Bohemia, Faculty of Applied Sciences, Dept. of Cybernetics, Univerzitní
fDate :
3/1/2012 12:00:00 AM
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.
Keywords :
"Speech","Timing","TV","Springs","Optimization","Color","Histograms"
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Print_ISBN :
978-1-4673-0045-2
DOI :
10.1109/ICASSP.2012.6288395