ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Automatic detection and prediction of topic changes through automatic detection of register variations and pause duration

Céline De Looze, Stéphane Rauzy

In this article a clustering algorithm, allowing the automatic detection of speakers’ register changes, is presented. Together with automatic detection of pause duration, it has shown to be efficient for the automatic detection and prediction of topic changes. The need to take into account other parameters such as tempo and intensity, in the framework of Linear Discriminant Analysis, is proposed in order to improve the identification of the topic structure of discourse.


doi: 10.21437/Interspeech.2009-739

Cite as: Looze, C.D., Rauzy, S. (2009) Automatic detection and prediction of topic changes through automatic detection of register variations and pause duration. Proc. Interspeech 2009, 2919-2922, doi: 10.21437/Interspeech.2009-739

@inproceedings{looze09_interspeech,
  author={Céline De Looze and Stéphane Rauzy},
  title={{Automatic detection and prediction of topic changes through automatic detection of register variations and pause duration}},
  year=2009,
  booktitle={Proc. Interspeech 2009},
  pages={2919--2922},
  doi={10.21437/Interspeech.2009-739}
}