STON efficient subtitling in Dutch using state-of-the-art tools
Lyan Verwimp, Brecht Desplanques, Kris Demuynck, Joris Pelemans, Marieke Lycke, Patrick Wambacq · Ghent University Academic Bibliography (Ghent University) · 2016
Copyright © 2016 ISCA. 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.