Modern TV or radio news talk-shows include a variety of sequences which comply with specific journalistic patterns, including debates, interviews, reports. The paper deals with automatic chapter generation for TV news talk-shows, according to these different journalistic genres. It is shown that linguistic and speaker-distribution based features can lead to an efficient characterization of these genres when the boundaries of the chapters are known, and that a speaker-distribution based segmentation is suitable for segmenting contents into these different genres. Evaluations on a collection of 42 episodes of a news talk-show provided by the French evaluation campaign REPERE show promising performance.
Cite as: Charlet, D., Damnati, G., Trione, J. (2015) News talk-show chaptering with journalistic genres. Proc. Interspeech 2015, 1368-1372, doi: 10.21437/Interspeech.2015-50
@inproceedings{charlet15_interspeech,
author={Delphine Charlet and Géraldine Damnati and Jérémy Trione},
title={{News talk-show chaptering with journalistic genres}},
year=2015,
booktitle={Proc. Interspeech 2015},
pages={1368--1372},
doi={10.21437/Interspeech.2015-50}
}