10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Automatic Detection and Prediction of Topic Changes Through Automatic Detection of Register Variations and Pause Duration

Céline De Looze, Stéphane Rauzy

LPL, France

In this article a clustering algorithm, allowing the automatic detection of speakersí 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.

Full Paper

Bibliographic reference.  Looze, Céline De / Rauzy, Stéphane (2009): "Automatic detection and prediction of topic changes through automatic detection of register variations and pause duration", In INTERSPEECH-2009, 2919-2922.