Title :
Automatic dubbing of TV programmes for the hearing impaired
Author :
Jindřich Matoušek;Zdeněk Hanzlíček;Daniel Tihelka;Martin Méner
Author_Institution :
Dept. of Cybernetics, Faculty of Applied Sciences, University of West Bohemia, Plzeñ
Abstract :
This paper presents experiments with a customisation of a corpus-based unit-selection text-to-speech (TTS) system for automatic dubbing of TV programmes. The project aims at people with hearing impairments as its main goal is to produce a highly intelligible, less-dynamic, and more-undisturbed audio track for TV programmes automatically from subtitles. A two-phase synchronisation process was proposed to cope with audio-video synchronisation issues. These phases include both off-line time compression of all utterances in a source speech corpus used for TTS and on-line time compression of speech that overlaps assigned subtitle time slots. Based on a case study, in which a TTS-generated audio track of a selected movie was analysed, a simplification of to-be-desynchronised subtitle texts was proposed in order to keep time-compression factors in a reasonable extent. In this way, abrupt changes in dynamics of the produced audio track are avoided.
Keywords :
"Speech","TV","Synchronization","Motion pictures","Auditory system","Digital signal processing","TV broadcasting"
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5655861