STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools

Lyan Verwimp, Brecht Desplanques, Kris Demuynck, Joris Pelemans, Marieke Lycke, Patrick Wambacq


We present a modular video subtitling platform that integrates speech/non-speech segmentation, speaker diarisation, language identification, Dutch speech recognition with state-of-the-art acoustic models and language models optimised for efficient subtitling, appropriate pre- and postprocessing of the data and alignment of the final result with the video fragment. Moreover, the system is able to learn from subtitles that are newly created. The platform is developed for the Flemish national broadcaster VRT in the context of the project STON, and enables the easy upload of a new fragment and inspection of both the timings and results of each step in the subtitling process.


Cite as

Verwimp, L., Desplanques, B., Demuynck, K., Pelemans, J., Lycke, M., Wambacq, P. (2016) STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools. Proc. Interspeech 2016, 780-781.

Bibtex
@inproceedings{Verwimp+2016,
author={Lyan Verwimp and Brecht Desplanques and Kris Demuynck and Joris Pelemans and Marieke Lycke and Patrick Wambacq},
title={STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools},
year=2016,
booktitle={Interspeech 2016},
pages={780--781}
}